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Publisher: Elsevier   (Total: 3183 journals)

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Showing 1 - 200 of 3183 Journals sorted alphabetically
Academic Pediatrics     Hybrid Journal   (Followers: 38, SJR: 1.655, CiteScore: 2)
Academic Radiology     Hybrid Journal   (Followers: 26, SJR: 1.015, CiteScore: 2)
Accident Analysis & Prevention     Partially Free   (Followers: 102, SJR: 1.462, CiteScore: 3)
Accounting Forum     Hybrid Journal   (Followers: 28, SJR: 0.932, CiteScore: 2)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 40, SJR: 1.771, CiteScore: 3)
Achievements in the Life Sciences     Open Access   (Followers: 7)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 6)
Acta Astronautica     Hybrid Journal   (Followers: 439, SJR: 0.758, CiteScore: 2)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Biomaterialia     Hybrid Journal   (Followers: 28, SJR: 1.967, CiteScore: 7)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 3)
Acta Ecologica Sinica     Open Access   (Followers: 11, SJR: 0.18, CiteScore: 1)
Acta Histochemica     Hybrid Journal   (Followers: 6, SJR: 0.661, CiteScore: 2)
Acta Materialia     Hybrid Journal   (Followers: 314, SJR: 3.263, CiteScore: 6)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5, SJR: 0.504, CiteScore: 1)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.542, CiteScore: 1)
Acta Oecologica     Hybrid Journal   (Followers: 12, SJR: 0.834, CiteScore: 2)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription  
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 2, SJR: 0.307, CiteScore: 0)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 1, SJR: 1.793, CiteScore: 6)
Acta Poética     Open Access   (Followers: 4, SJR: 0.101, CiteScore: 0)
Acta Psychologica     Hybrid Journal   (Followers: 26, SJR: 1.331, CiteScore: 2)
Acta Sociológica     Open Access   (Followers: 1)
Acta Tropica     Hybrid Journal   (Followers: 6, SJR: 1.052, CiteScore: 2)
Acta Urológica Portuguesa     Open Access  
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 3, SJR: 0.374, CiteScore: 1)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 2)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.344, CiteScore: 1)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 7, SJR: 0.19, CiteScore: 0)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 3)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 8)
Acute Pain     Full-text available via subscription   (Followers: 15, SJR: 2.671, CiteScore: 5)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.53, CiteScore: 4)
Addictive Behaviors     Hybrid Journal   (Followers: 18, SJR: 1.29, CiteScore: 3)
Addictive Behaviors Reports     Open Access   (Followers: 9, SJR: 0.755, CiteScore: 2)
Additive Manufacturing     Hybrid Journal   (Followers: 11, SJR: 2.611, CiteScore: 8)
Additives for Polymers     Full-text available via subscription   (Followers: 23)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 187, SJR: 4.09, CiteScore: 13)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 12, SJR: 1.167, CiteScore: 4)
Advanced Powder Technology     Hybrid Journal   (Followers: 17, SJR: 0.694, CiteScore: 3)
Advances in Accounting     Hybrid Journal   (Followers: 9, SJR: 0.277, CiteScore: 1)
Advances in Agronomy     Full-text available via subscription   (Followers: 17, SJR: 2.384, CiteScore: 5)
Advances in Anesthesia     Full-text available via subscription   (Followers: 29, SJR: 0.126, CiteScore: 0)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 2)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 12, SJR: 0.992, CiteScore: 1)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 12, SJR: 1.551, CiteScore: 4)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 24, SJR: 2.089, CiteScore: 5)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 15, SJR: 0.572, CiteScore: 2)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.61, CiteScore: 7)
Advances in Botanical Research     Full-text available via subscription   (Followers: 2, SJR: 0.686, CiteScore: 2)
Advances in Cancer Research     Full-text available via subscription   (Followers: 34, SJR: 3.043, CiteScore: 6)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 9, SJR: 1.453, CiteScore: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 1.992, CiteScore: 5)
Advances in Cell Aging and Gerontology     Full-text available via subscription   (Followers: 5)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 14)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 29, SJR: 0.156, CiteScore: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 11, SJR: 0.713, CiteScore: 1)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 10, SJR: 1.316, CiteScore: 2)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 26, SJR: 1.562, CiteScore: 3)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 20, SJR: 1.977, CiteScore: 8)
Advances in Computers     Full-text available via subscription   (Followers: 14, SJR: 0.205, CiteScore: 1)
Advances in Dermatology     Full-text available via subscription   (Followers: 15)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 13)
Advances in Digestive Medicine     Open Access   (Followers: 12)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 7)
Advances in Drug Research     Full-text available via subscription   (Followers: 26)
Advances in Ecological Research     Full-text available via subscription   (Followers: 43, SJR: 2.524, CiteScore: 4)
Advances in Engineering Software     Hybrid Journal   (Followers: 29, SJR: 1.159, CiteScore: 4)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 8)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 51, SJR: 5.39, CiteScore: 8)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 1)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 9)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 66, SJR: 0.591, CiteScore: 2)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 17)
Advances in Genetics     Full-text available via subscription   (Followers: 21, SJR: 1.354, CiteScore: 4)
Advances in Genome Biology     Full-text available via subscription   (Followers: 10, SJR: 12.74, CiteScore: 13)
Advances in Geophysics     Full-text available via subscription   (Followers: 7, SJR: 1.193, CiteScore: 3)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 26, SJR: 0.368, CiteScore: 1)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 11, SJR: 0.749, CiteScore: 3)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 25)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 3, SJR: 0.193, CiteScore: 0)
Advances in Immunology     Full-text available via subscription   (Followers: 37, SJR: 4.433, CiteScore: 6)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 10, SJR: 1.163, CiteScore: 2)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 2, SJR: 1.938, CiteScore: 3)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 6, SJR: 0.176, CiteScore: 0)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 3)
Advances in Life Course Research     Hybrid Journal   (Followers: 9, SJR: 0.682, CiteScore: 2)
Advances in Lipobiology     Full-text available via subscription   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Marine Biology     Full-text available via subscription   (Followers: 21, SJR: 0.88, CiteScore: 2)
Advances in Mathematics     Full-text available via subscription   (Followers: 14, SJR: 3.027, CiteScore: 2)
Advances in Medical Sciences     Hybrid Journal   (Followers: 8, SJR: 0.694, CiteScore: 2)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 6)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 5, SJR: 1.158, CiteScore: 3)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 24)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 8)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 7, SJR: 0.182, CiteScore: 0)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 5)
Advances in Oncobiology     Full-text available via subscription   (Followers: 2)
Advances in Organ Biology     Full-text available via subscription   (Followers: 2)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 18, SJR: 1.875, CiteScore: 4)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7, SJR: 0.174, CiteScore: 0)
Advances in Parasitology     Full-text available via subscription   (Followers: 5, SJR: 1.579, CiteScore: 4)
Advances in Pediatrics     Full-text available via subscription   (Followers: 27, SJR: 0.461, CiteScore: 1)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 19)
Advances in Pharmacology     Full-text available via subscription   (Followers: 17, SJR: 1.536, CiteScore: 3)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 9, SJR: 0.574, CiteScore: 1)
Advances in Phytomedicine     Full-text available via subscription  
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.109, CiteScore: 1)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 10)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 6)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 19)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 20, SJR: 0.791, CiteScore: 2)
Advances in Psychology     Full-text available via subscription   (Followers: 67)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 6, SJR: 0.371, CiteScore: 1)
Advances in Radiation Oncology     Open Access   (Followers: 1, SJR: 0.263, CiteScore: 1)
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 3, SJR: 0.101, CiteScore: 0)
Advances in Space Biology and Medicine     Full-text available via subscription   (Followers: 6)
Advances in Space Research     Full-text available via subscription   (Followers: 424, SJR: 0.569, CiteScore: 2)
Advances in Structural Biology     Full-text available via subscription   (Followers: 5)
Advances in Surgery     Full-text available via subscription   (Followers: 13, SJR: 0.555, CiteScore: 2)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 37, SJR: 2.208, CiteScore: 4)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 20)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 15)
Advances in Virus Research     Full-text available via subscription   (Followers: 6, SJR: 2.262, CiteScore: 5)
Advances in Water Resources     Hybrid Journal   (Followers: 53, SJR: 1.551, CiteScore: 3)
Aeolian Research     Hybrid Journal   (Followers: 6, SJR: 1.117, CiteScore: 3)
Aerospace Science and Technology     Hybrid Journal   (Followers: 387, SJR: 0.796, CiteScore: 3)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.42, CiteScore: 2)
African J. of Emergency Medicine     Open Access   (Followers: 6, SJR: 0.296, CiteScore: 0)
Ageing Research Reviews     Hybrid Journal   (Followers: 12, SJR: 3.671, CiteScore: 9)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 479, SJR: 1.238, CiteScore: 3)
Agri Gene     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 18, SJR: 1.818, CiteScore: 5)
Agricultural Systems     Hybrid Journal   (Followers: 31, SJR: 1.156, CiteScore: 4)
Agricultural Water Management     Hybrid Journal   (Followers: 44, SJR: 1.272, CiteScore: 3)
Agriculture and Agricultural Science Procedia     Open Access   (Followers: 4)
Agriculture and Natural Resources     Open Access   (Followers: 3)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 58, SJR: 1.747, CiteScore: 4)
Ain Shams Engineering J.     Open Access   (Followers: 5, SJR: 0.589, CiteScore: 3)
Air Medical J.     Hybrid Journal   (Followers: 8, SJR: 0.26, CiteScore: 0)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.19, CiteScore: 0)
Alcohol     Hybrid Journal   (Followers: 12, SJR: 1.153, CiteScore: 3)
Alcoholism and Drug Addiction     Open Access   (Followers: 12)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 1)
Alexandria Engineering J.     Open Access   (Followers: 2, SJR: 0.604, CiteScore: 3)
Alexandria J. of Medicine     Open Access   (Followers: 1, SJR: 0.191, CiteScore: 1)
Algal Research     Partially Free   (Followers: 11, SJR: 1.142, CiteScore: 4)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 2)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.504, CiteScore: 1)
Allergology Intl.     Open Access   (Followers: 5, SJR: 1.148, CiteScore: 2)
Alpha Omegan     Full-text available via subscription   (SJR: 3.521, CiteScore: 6)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 10, SJR: 0.201, CiteScore: 1)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 53, SJR: 4.66, CiteScore: 10)
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring     Open Access   (Followers: 6, SJR: 1.796, CiteScore: 4)
Alzheimer's & Dementia: Translational Research & Clinical Interventions     Open Access   (Followers: 6, SJR: 1.108, CiteScore: 3)
Ambulatory Pediatrics     Hybrid Journal   (Followers: 5)
American Heart J.     Hybrid Journal   (Followers: 58, SJR: 3.267, CiteScore: 4)
American J. of Cardiology     Hybrid Journal   (Followers: 63, SJR: 1.93, CiteScore: 3)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 46, SJR: 0.604, CiteScore: 1)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 12)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 14, SJR: 1.524, CiteScore: 3)
American J. of Human Genetics     Hybrid Journal   (Followers: 37, SJR: 7.45, CiteScore: 8)
American J. of Infection Control     Hybrid Journal   (Followers: 29, SJR: 1.062, CiteScore: 2)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 36, SJR: 2.973, CiteScore: 4)
American J. of Medicine     Hybrid Journal   (Followers: 50)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3, SJR: 1.967, CiteScore: 2)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 258, SJR: 2.7, CiteScore: 4)
American J. of Ophthalmology     Hybrid Journal   (Followers: 66, SJR: 3.184, CiteScore: 4)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 5, SJR: 0.265, CiteScore: 0)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.289, CiteScore: 1)
American J. of Otolaryngology     Hybrid Journal   (Followers: 25, SJR: 0.59, CiteScore: 1)
American J. of Pathology     Hybrid Journal   (Followers: 33, SJR: 2.139, CiteScore: 4)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 28, SJR: 2.164, CiteScore: 4)
American J. of Surgery     Hybrid Journal   (Followers: 39, SJR: 1.141, CiteScore: 2)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 12, SJR: 0.767, CiteScore: 1)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 7)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.144, CiteScore: 3)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 66, SJR: 0.138, CiteScore: 0)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 24, SJR: 0.411, CiteScore: 1)
Anales de Cirugia Vascular     Full-text available via subscription   (Followers: 1)
Anales de Pediatría     Full-text available via subscription   (Followers: 3, SJR: 0.277, CiteScore: 0)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription  
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 5, SJR: 4.849, CiteScore: 10)
Analytica Chimica Acta     Hybrid Journal   (Followers: 44, SJR: 1.512, CiteScore: 5)
Analytica Chimica Acta : X     Open Access  
Analytical Biochemistry     Hybrid Journal   (Followers: 212, SJR: 0.633, CiteScore: 2)
Analytical Chemistry Research     Open Access   (Followers: 13, SJR: 0.411, CiteScore: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 14)
Anesthésie & Réanimation     Full-text available via subscription   (Followers: 2)
Anesthesiology Clinics     Full-text available via subscription   (Followers: 25, SJR: 0.683, CiteScore: 2)
Angiología     Full-text available via subscription   (SJR: 0.121, CiteScore: 0)
Angiologia e Cirurgia Vascular     Open Access   (Followers: 1, SJR: 0.111, CiteScore: 0)
Animal Behaviour     Hybrid Journal   (Followers: 225, SJR: 1.58, CiteScore: 3)
Animal Feed Science and Technology     Hybrid Journal   (Followers: 6, SJR: 0.937, CiteScore: 2)
Animal Reproduction Science     Hybrid Journal   (Followers: 7, SJR: 0.704, CiteScore: 2)

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Similar Journals
Journal Cover
Ad Hoc Networks
Journal Prestige (SJR): 0.53
Citation Impact (citeScore): 4
Number of Followers: 11  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1570-8705
Published by Elsevier Homepage  [3183 journals]
  • Minimum Connected Dominating Sets in Heterogeneous 3D Wireless Ad Hoc
           Networks
    • Abstract: Publication date: Available online 14 October 2019Source: Ad Hoc NetworksAuthor(s): Xin Bai, Danning Zhao, Sen Bai, Qiang Wang, Weilue Li, Dongmei Mu The Minimum Connected Dominating Set (MCDS) problem is a fundamental problem in wireless ad hoc networks. The majority of approximation algorithms for this NP-hard problem follow a two-phased approach: The first phase is to construct a Maximal Independent Set (MIS), and the second phase is to connect the nodes in it. The upper bounds of the MISs play a key role in the design of constant approximation MCDS algorithms. This paper considers this problem for 3D heterogeneous ad hoc networks, where the transmission ranges of nodes are allowed to be different. We prove upper bounds of MISs with two classical mathematical problems, the Spherical Code Problem and the Sphere Packing Problem. When the transmission range ratio (the ratio of the maximum transmission range over the minimum transmission range) is (1, 1.023], (1.023, 1.055], (1.055, 1.082], ..., we reduce the MIS upper bounds from the best-known results 22 OPT +1, 23 OPT +1, 24 OPT +1,..., to 12 OPT +1, 13 OPT +1, 14 OPT +1,..., where OPT is an optimal CDS and OPT is the size of OPT. With the bounds of MISs, the approximation ratio of MCDS algorithms can be reduced from 25.02 to 16.02 in heterogeneous 3D wireless ad hoc networks.
       
  • QoS-Aware Traffic Scheduling Framework in Cognitive Radio based Smart
           Grids using Multi-objective Optimization of Latency and Throughput
    • Abstract: Publication date: Available online 14 October 2019Source: Ad Hoc NetworksAuthor(s): Muhammad Waqas Khan, Muhammad Zeeshan, Asma Farid, Muhammad Usman To meet the diverse QoS requirements of future Smart Grid (SG) communication network, efficient traffic scheduling and optimization techniques to prioritize data from various SG applications are required. Recently, focus has only been on the latency and criticality based priority-aware policies for same channel bandwidth. Traffic scheduling and subsequent channel allocation are required to support both the differential throughput and latency requirements simultaneously for channels having different bandwidths and SNRs. In this paper, a QoS-aware framework for data traffic scheduling in cognitive radio based SG communication network is proposed. The channels available to smart grid Communication Nodes (SCNs) are categorized as low and high bandwidths. For each bandwidth, all SG applications are categorized into several priority-classes comprised of latency and throughput sub-classes. For both channel bandwidths, the scheduler maintains and updates two sets of priority queues based on weights associated with each class and its data type. The complete scheduling framework is formulated as a multi-objective optimization problem. The overall objective function is the weighted sum of individual utility functions of latency and throughput. A novel usage of Adam optimizer is proposed to minimize the latency and maximize the throughput by obtaining optimal system cost, resulting in optimal decision policy. Simulation results show that the proposed algorithm achieves desired QoS requirements in the presence of heavy PU traffic, whereas in case of no priority assignment, QoS requirements of lower priority applications are met by compromising the QoS of higher priority data.
       
  • On The Distribution of Nodal Distances in Random Wireless Ad Hoc Network
           with Mobile Node
    • Abstract: Publication date: Available online 14 October 2019Source: Ad Hoc NetworksAuthor(s): Xuefeng Zhong, Fangjiong Chen, Quansheng Guan, Ji Fei, Hua Yu The distribution of nodal distance is of vital importance in connectivity analysis of wireless ad hoc networks. Existing research on distance distribution focuses on static network deployment. In this paper we consider the distribution of nodal distance between uniformly deployed static nodes and multiple mobile nodes. The Random-Way-Point (RWP) mobility model is applied for mobile nodes. We derive the analytic expressions of the cumulative distribution function and probability density function of the nodal distance in square and circular areas. The validity of our theoretical results is verified through computer simulations, which show that the analytical results are consistent with the simulated results.
       
  • Cross-Domain Person Re-Identification using Dual Generation Learning in
           Camera Sensor Networks
    • Abstract: Publication date: Available online 11 October 2019Source: Ad Hoc NetworksAuthor(s): Zhong Zhang, Yanan Wang, Shuang Liu Cross-domain person re-identification (Re-ID) in camera sensor networks is a challenge task due to large domain-style and camera-style variances. In this work, we propose a novel deep learning method called Dual Generation Learning (DGL) for cross-domain person Re-ID, which simultaneously considers domain and camera styles by expanding training samples. Correspondingly, we design a three-branch deep model with different losses. We further propose Hybrid Triplet Loss (HTL) to deal with the combination of the source dataset, the target dataset and their expansions. Thus, the learned features are robust to domain shifts and camera differences. The experimental results prove that DGL achieves the promising generalization ability and accuracy compared with the state-of-the-art methods.
       
  • Person Re-identification using Hybrid Task Convolutional Neural Network in
           Camera Sensor Networks
    • Abstract: Publication date: Available online 10 October 2019Source: Ad Hoc NetworksAuthor(s): Shuang Liu, Wenmin Huang, Zhong Zhang This paper proposes a new framework called Hybrid Task Convolutional Neural Network (HTCNN) which combines the advantages of ranking and classification tasks for person re-identification (re-ID) in camera sensor networks. As for the ranking task, we propose Weighted Triplet Loss (WTL) to optimize global features of pedestrians, and meanwhile WTL emphasizes the foreground of pedestrian image and weakens the background in order to enhance the feature discrimination. As for the classification task, we evenly divide the convolutional activation map into several horizontal parts and utilize average pooling to obtain local features of pedestrians. We evaluate our method on public person re-ID datasets, and the results indicate HTCNN exceeds the state-of-the-art re-ID methods.
       
  • An Efficient Energy-Aware Routing Scheme for Cloud-Assisted MANETs in 5G
    • Abstract: Publication date: Available online 7 October 2019Source: Ad Hoc NetworksAuthor(s): H. Riasudheen, K. Selvamani, Saswati Mukherjee, I.R. Divyasree Energy-Saving techniques for mobile communication systems has recently received a great deal of attention in Fifth Generation (5G) networks. The Device-to-Device (D2D) communication in 5G networks has increased number of users and the data transmission rate among the mobile nodes in Cloud Assisted-Mobile Ad Hoc Networks (CA-MANETs). However, the connection between these mobile nodes and peer nodes has to frequently renew due to mobility, link failure, routing overhead and low battery power. During this period, it consumes high energy in searching and linking the mobile nodes. Hence, this research work attempts to reduce the energy consumption by proposing an Energy-Efficient Cloud-Assisted Routing Mechanism (EECRM) for CA-MANETs. Energy consumption is minimized by performing fast local route recovery among mobile nodes and peer nodes. If the link failure occurs, the backup nodes are identified by neighbour nodes and these backup nodes form an overlay that provides the coverage and this overlay network consumes less energy in routing. The results obtained from this proposed routing algorithm provides better performance in terms of less energy consumption, residual energy and network lifetime when compared with other existing network models and routing protocols.
       
  • An accurate UWB based localization system using modified leading edge
           detection algorithm
    • Abstract: Publication date: Available online 7 October 2019Source: Ad Hoc NetworksAuthor(s): Sreenivasulu Pala, Sarada Jayan, Dhanesh G. Kurup Ultra-wideband (UWB) localization systems have gained wide attention in precise indoor positioning applications, due to the usage of high bandwidth signals. We propose a modified leading edge detection algorithm for estimating the time of arrival (TOA) of the received UWB signal. The proposed method performs well even under low signal-to-noise ratio (SNR) conditions. We simulate a UWB localization system using the proposed algorithm and evaluate its performance under additive white Gaussian noise (AWGN). We study the influence of tuning parameters of the proposed algorithm on the positioning accuracy. We evaluate 1D and 2D positioning accuracies of the localization system using the optimal tuning parameters of the proposed algorithm. We further evaluate the performance of the proposed algorithm in multipath conditions. Simulation results show that the proposed algorithm provides enhanced positioning accuracy compared to the previously published methods including the state-of-the-art methods. We improve the positioning accuracy of the localization system further by deploying more base stations.
       
  • Uplink/Downlink Decoupled Energy Efficient User Association in
           Heterogeneous Cloud Radio Access Networks
    • Abstract: Publication date: Available online 3 October 2019Source: Ad Hoc NetworksAuthor(s): Merve Saimler, Sinem Coleri Ergen Heterogeneous Cloud Radio Access Networks (H−CRAN) is a network architecture that combines Macro Base Stations (MBS)s and Small Base Stations (SBS)s with cloud infrastructures. The dense deployment of SBSs in H-CRAN is needed to provide high data rates to User Equipments (UEs) but causes high energy consumption. Unrealistic power models lead to inefficient UE association schemes in terms of energy. In this paper, we study the joint optimization of Uplink (UL) and Downlink (DL) decoupled UE association and switching on/off the SBSs in H-CRAN by incorporating a realistic power model with the objective of minimizing the power consumption in H-CRAN. The power model encompasses static and the dynamic power consumption of MBS, the static power consumption of SBS, the power consumption of transmission links to cloud infrastructure and the power consumption of UEs. The problem is transformed into Single Source Capacitated Facility Location Problem (SSCFLP) which is NP-Hard. We then propose a heuristic algorithm based on the use of LP relaxation and solving many-to-one assignment problem with generalized assignment problem heuristics. Extensive simulations demonstrate that the proposed heuristic algorithm performs very close to optimal and achieves significant improvements in minimizing total power consumption compared to coupled UE association algorithm and algorithms utilizing the power consumption models that do not encompass MBS dynamic power consumption and the power consumption of transmission links to cloud infrastructure for various scenarios.
       
  • Beyond Beaconing: Emerging Applications and Challenges of BLE
    • Abstract: Publication date: Available online 25 September 2019Source: Ad Hoc NetworksAuthor(s): Jian Yang, Christian Poellabauer, Pramita Mitra, Cynthia Neubecker As an emerging technology with exceptional low energy consumption and low-latency data transmissions, Bluetooth Low Energy (BLE) has gained significant momentum in various application domains, such as Indoor Positioning, Home Automation, and Wireless Personal Area Network (WPAN) communications. With various novel protocol stack features, BLE is finding use on resource-constrained sensor nodes as well as more powerful gateway devices. Particularly proximity detection using BLE beacons has been a popular usage scenario ever since the release of Bluetooth 4.0, primarily due to the beacons’ energy efficiency and ease of deployment. However, with the rapid rise of the Internet of Things (IoT), BLE is likely to be a significant component in many other applications with widely varying performance and Quality-of-Service (QoS) requirements and there is a need for a consolidated view of the role that BLE will play in applications beyond beaconing. This paper comprehensively surveys state-of-the-art applications built with BLE, obstacles to adoption of BLE in new application areas, and current solutions from academia and industry that further expand the capabilities of BLE.
       
  • Techno-Economic Framework for Dynamic Operator Selection in a Multi-Tier
           Heterogeneous Network
    • Abstract: Publication date: Available online 18 September 2019Source: Ad Hoc NetworksAuthor(s): Gabriel Bugár, Marcel Vološin, Taras Maksymyuk, Jana Zausinová, Vladimír Gazda, Denis Horváth, Juraj Gazda Tremendous growth of the mobile network market driven by technology evolution requires a corresponding paradigm shift of the economic aspects of mobile networks. The high heterogeneity and flexibility of 5G mobile networks have led operators to shift their business models towards an open spectrum market. In this paper, we first introduce a comprehensive techno-economic framework to investigate a heterogeneous network (HetNet) that consists of two operators: a macro cell operator and a small cell operator, operating in conditions of an open spectrum market. Both operators coexist in such a way that the small cell operator leases the spectrum from the macro cell operator. In contrast to other similar studies, in our framework, we apply the concept of evolutionary stable equilibrium (ESE), which provides some level of intuition to the behaviour of the operators. In addition, we implement the method of dynamic service selection by the end users based on a utility function, which is sensitive to both the service price and the expected throughput. To analyse the techno-economic performance of the system, we develop a real-world simulation model that encompasses a 3D urban environment using real network topology from the OpenCellID database; this model includes a large number of end users with realistic mobility patterns. The simulation results show that, from the user’s perspective, the network switching mode provides better service at a lower price due to high market competition. From the view of the operator, the most profitable mode is the static contract because there is stable service demand regardless of the price. The multi-homing mode is a promising intermediate solution that can satisfy both the end users and the operators.
       
  • Broadcast Strategies and Performance Evaluation of IEEE 802.15.4 in
           Wireless Body Area Networks WBAN
    • Abstract: Publication date: Available online 16 September 2019Source: Ad Hoc NetworksAuthor(s): Wafa Badreddine, Claude Chaudet, Federico Petruzzi, Maria Potop-Butucaru Wireless Body Area Networks (WBANs) can be considered as an evolution of wireless sensor networks towards wearable and implanted technologies. Radio propagation and mobility are particular in this context, as they are influenced by the characteristics and movement of the human body and by the necessity to keep the transmission power at its minimum to save energy and limit interactions with the wearer.In this paper, we investigate the broadcasting problem in which a node, typically the gateway, tries to send a packet to all other nodes in the network at minimal cost. This problem is not as trivial as it looks and we show through simulation that forwarding strategies coming from the Delay Tolerant Networks world cannot be transposed without adaptation. We enriched the Omnet++ simulator with a WBAN-specific channel model from the literature, and use this model to evaluate 9 classes of broadcasting algorithms, including our own proposals, with respect to their ability to cover the whole network, their completion delay, their cost in terms of transmissions volume and their capability to preserve multiple packets order (i.e. total order broadcast).Our study shows that there is a subtle compromise to find between verbose strategies that achieve good performance at the cost of numerous transmissions, ultimately provoking collisions and more cautious solutions that miss transmission opportunities because of mobility.
       
  • Fractional chaos based-cryptosystem for generating encryption keys in Ad
           Hoc networks
    • Abstract: Publication date: Available online 10 September 2019Source: Ad Hoc NetworksAuthor(s): Rolando Montero-Canela, Ernesto Zambrano-Serrano, Edna I. Tamariz-Flores, Jesus M. Muñoz-Pacheco, Richard Torrealba-Meléndez Ad Hoc networks are considered essential elements of the Internet of Things (IoT), which is a technological trend for innovative future applications. Since in IoT systems the devices are mostly connected among them, the data exchange is a vital activity in the network. In this kind of networks, not only non-sensitive data exchange is performed, but also sensitive data (digital signatures, login credentials, account numbers, personal images, and so on) are shared. Therefore, new appropriate approaches to encrypt the secret information are highly required. This paper presents an experimental setup of a fractional-chaos based-cryptosystem for ad hoc networks under the IEEE 802.15.4 standard. The proposed cryptosystem is composed of a novel chaotic pairing approach between the coordinator node and end-devices nodes to sending data into the network. More specifically, the RF-data of the IEEE 802.15.4 frame is encrypted using a fractional-order encryption key and four iterative steps. It is worth to note that the chaotic key is based on a fractional-order chaotic system, which is derived from the fractional calculus theory. Fractional-order chaotic dynamics are demonstrated using the Lyapunov method and equilibria stability. Next, the experimental validation of the cryptosystem is shown sending an encrypted image between ARM digital platforms and wireless Xbee modules. Several security analyses indicate the proposed encryption scheme has suitable statistical properties, sizeable keyspace, and high sensitivity providing secure communications.
       
  • Authentication Protocol in CTNs for a CWD-WPT Charging System in a Cloud
           Environment
    • Abstract: Publication date: Available online 5 September 2019Source: Ad Hoc NetworksAuthor(s): Luis F.A. Roman, Paulo R.L. Gondim The Internet of Things (IoT) has developed very rapidly in recent years, becoming increasingly complex. The communication things networks (CTNs) is a very important element in IoT for the interconnection of several objects (between objects or objects with the internet). In the context of electric vehicles, the development of CTNs represents a pillar for the implementation of new services such as charge while driving (CWD) based on wireless power transfer (WPT) technology. Cloud-based vehicular ad-hoc networks (VANETs) are one of the networks that can support the high mobility, low latency and connectivity required for a CWD-WPT system. The CWD-WPT charging system provides comfort and time optimization for users if the privacy, integrity and availability of the system are guaranteed. This paper proposes an authentication protocol that uses different cryptographic schemes for key management and distribution in a CWD-WPT cloud charging system that guarantees message privacy and integrity, mutual authentication of system elements and anonymity of EVs.
       
  • Matrix-Based Key Management Scheme for IoT networks
    • Abstract: Publication date: Available online 4 September 2019Source: Ad Hoc NetworksAuthor(s): Mohammed Nafi, Samia Bouzefrane, Mawloud Omar The key management is the central element of network security. In fact, key distribution is necessary for securing applications in the context of Internet of Things (IoT). However, existing key management protocols are not directly applicable on IoT due, among other things, to severe and high resource constraints of some devices that make up the IoT network. Therefore, it is necessary that the proposed key management protocols takes in charge these features and constraints. Most existing solutions didn’t focus on optimizing, at the same time, all performance criteria, like communication, computation and storage. Some of them put special emphasis on minimizing one criteria but ignore the others. In this paper, we propose a new lightweight matrix based key management protocol for Iot network, which is not only flexible, scalable and resilient to many types of attacks, but also can reduce the communication, computation and storage overheads at constrained nodes side. The security properties like authentication, integrity and secrecy have been checked by using the formal verification tool AVISPA. Moreover, security and performance analysis show that our scheme protects user’s sensitive data from several types of attacks by achieving secure end-to-end communications, and optimizes the energy consumption, which is suitable for resource-limited networks.
       
  • A Comprehensive Survey on Enhancements and Limitations of the RPL
           protocol: A focus on the Objective Function
    • Abstract: Publication date: Available online 31 August 2019Source: Ad Hoc NetworksAuthor(s): Hanane Lamaazi, Nabil Benamar The RPL routing protocol for low power and lossy networks uses the objective function (OF) to build a Destination Oriented Directed Acyclic Graph (DODAG) based on a set of metrics and constraints. The OF has as the main function to select and specify the best parent or the optimal path to reach the destination. However, proposing an adequate objective function in Low Power and Lossy Networks (LLNs) presents a substantial challenge. In this paper, we propose a survey on existing objective functions in LLNs based on a set of metrics. These metrics can define a node or/and link characteristics. We highlight the advantages and the shortcoming of each studied solution. Furthermore, we propose a classification of the used metrics and the criteria of choice. Then, we present a comparative study of the existing OFs in terms of the required performances of the RPL protocol and we provide a deep statistical analysis of all reviewed papers. Finally, we conclude our contribution by highlighting the different issues and challenges that can be exploited for future works. We believe that this survey will help LLNs researchers' community to easily understand the objective function concept and contributes to improving RPL in this context for further relevant research works.
       
  • LOCATE)&rft.title=Ad+Hoc+Networks&rft.issn=1570-8705&rft.date=&rft.volume=">Design and Performance Evaluation of a LoRa-based mObile emergenCy
           mAnagement sysTEm (LOCATE)
    • Abstract: Publication date: Available online 30 August 2019Source: Ad Hoc NetworksAuthor(s): Luca Sciullo, Angelo Trotta, Marco Di Felice Smartphone devices can play a key role on emergency scenarios thanks to their pervasiveness, and the possibility to convey emergency requests from the involved people to the rescue teams. At the same time, the effective utilization of such devices on critical scenarios with limited mobile Internet access is challenging. As an alternative, several recent research studies have proposed Emergency Communication System (ECS) based on short-range Device-to-Device (D2D) solutions available on Commercial Off The Shelf (COTS) devices (e.g. Wi-Fi Direct); however, the target of these solutions is constituted by small indoor areas, since the scalability on large-scale environments is often a problem. In this paper, we overcome such issue by proposing LOCATE, a novel phone-based ECS enabling long-range communication among survivors and rescue teams over critical environments where 3/4G cellular connectivity is not available and the traditional geo-localization technologies (e.g. the GPS) provide only partial coverage of the environment. The proposed system consists of a mobile application connected to a LoRa transceiver via Bluetooth Low Energy (BLE); through the app, users can send emergency requests that are re-broadcasted by other peers until reaching a rescue personnel who is able to handle the emergency. Three novel contributions are provided in this paper. First, we provide extensive measurements of the LoRa technology, and investigate its suitability for ECS-related applications. Second, we describe the LOCATE prototype and the enabling algorithms; specifically, we propose a novel multi-hop dissemination algorithm which maximizes the probability to deliver an emergency request to the destination (e.g. rescue personnel) within a user-defined temporal threshold, while minimizing the number of message re-transmissions. Third, we extensively evaluate the LOCATE performance through OMNeT++ simulations, assessing the capability of the dissemination protocol to spread out the emergency requests over large-scale scenarios, and through experiments, assessing the capability of LoRa-based trilateration technique to provide accurate GPS-free localization. The results demonstrate that the LOCATE protocol is able to minimize the time required to handle the emergency when compared to other dissemination strategies (e.g. flooding, continuous, once-per-contact), and they highlight the considerable improvement provided by the LoRa technology over other D2D solutions available on COTS smartphones (e.g. Wi-Fi Direct).
       
  • Uplink Resource Allocation for Multicarrier Grouping Cognitive Internet of
           Things Based on K-means Learning
    • Abstract: Publication date: Available online 30 August 2019Source: Ad Hoc NetworksAuthor(s): Xin Liu, Min Jia, Hua Ding Integrating cognitive radio into internet of things (IoT), cognitive IoT (CIoT) can achieve more available spectrum resources by accessing the licensed frequency bands of primary user (PU), providing the communication of the PU is not disturbed. In this paper, a multicarrier grouping CIoT is proposed to decrease the interference to the PU, where the CIoT nodes are divided into several groups by K-means Learning and each group transmits data to the base station in the allocated time slot. In the underlay case, the uplink resource allocation is formulated as an optimization problem, which seeks to maximize the transmission rate of the CIoT under the constraint of the interference power to the PU, by jointly allocating subcarrier and power for each node. The optimization problem is solved by group power optimization and node power optimization. The upper and lower bounds of the optimal number of groups are calculated. In the overlay case, the lower bound of sensing time is achieved to guarantee the spectrum sensing performance, and the transmission rate of the CIoT is maximized without considering any interference. The simulations show the predominance of the multicarrier grouping CIoT under the strict interference restriction.
       
  • Maximization of The Sensor Network Lifetime by Activity Schedule Heuristic
           Optimization
    • Abstract: Publication date: Available online 29 August 2019Source: Ad Hoc NetworksAuthor(s): Artur Mikitiuk, Krzysztof Trojanowski Wireless Sensor Networks (WSNs) consist of a set of devices with limited energy capacity, therefore the longevity of the network can be one of the decisive quality parameters of WSNs. We study the problem of WSN lifetime maximization for a model of the network where sensors are randomly deployed over an area to keep watch on a number of points of interest (POI). Although sensors have limited battery capacity, their number is large, and their monitoring ranges overlap. Therefore, not all the sensors have to be active all the time. Moreover, for effective monitoring, it is enough to observe all the time just a required percentage of POIs, not all of them. Our goal is to create a schedule of sensor activity giving the longest possible time of effective monitoring of a given set of POIs. Here, we present three heuristic algorithms for sensors activity scheduling: a random and fine-tuning approach, an approach inspired by cellular automata, and a hypergraph model approach. Since the outcome of these algorithms does not represent optimal solutions and can be further improved, we use the obtained schedules as an input for a local search strategy with problem-specific neighborhood functions. Three versions of schedule perturbation operators are presented. We also propose a suite of benchmark test cases for experimental evaluation of our algorithms and present the results of experiments with heuristic algorithms and local search methods.
       
  • Deep Tensor Fusion Network for Multimodal Ground-based Cloud
           Classification in Weather Station Networks
    • Abstract: Publication date: Available online 28 August 2019Source: Ad Hoc NetworksAuthor(s): Mei Li, Shuang Liu, Zhong Zhang Accurate multimodal ground-based cloud classification in weather station networks is a challenging task, because the existing methods fuse cloud visual data and multimodal data at the vector level resulting in the spatial information loss. In this work, we propose a method named deep tensor fusion network (DTFN) for multimodal ground-based cloud classification in weather station networks, which could learn completed cloud information by fusing heterogeneous features at the tensor level in a unified framework. The DTFN is composed of the visual tensor subnetwork (VTN) and the multimodal tensor subnetwork (MTN). The VTN transforms cloud images into cloud visual tensors using a deep network and therefore the spatial information of ground-based cloud images can be maintained. Meanwhile, the MTN is designed as a couple of deconvolutional layers in order to transform the multimodal data into multimodal tensors and ensure the multimodal tensors to be mathematically compatible with cloud visual tensors. Furthermore, to fuse cloud visual tensor and multimodal tensor, we propose the tensor fusion layer to exploit the high-order correlations between them. The DTFN is evaluated on MGCD and exceeds the state-of-the-art methods, which validates its effectiveness for multimodal ground-based cloud classification in weather station networks.
       
  • Energy Aware Endurance Framework for Mission Critical Aerial Networks
    • Abstract: Publication date: Available online 28 August 2019Source: Ad Hoc NetworksAuthor(s): Yusuf zevik, Berk Canberk Recently, aerial networks have been offered as assistant communication infrastructures against some temporary operations especially in mission critical events. However, the lifetime of an aerial component is much less than the estimated operational time because of power supply capacity restrictions. Thus, there should be some replenishment processes between Aerial Base Stations (ABSs) to maintain the physical presence of the topology, i.e. the endurance. During a replenishment process, the relation between energy consumption and flight characteristic of a drone should be carefully taken in to account, because motional energy consumption is much more than the communicational and computational ones. For this purpose, we provide an energy aware endurance framework by modeling an energy consumption digraph model, representing an Aerial Pickup and Delivery Problem (APDP) for flight planning and implementing a novel algorithmic solution. Moreover, replenishment factor (γ) and flight planning cost (δ) parameters are presented to compare the evaluation of the proposed method with a simple replenishment approach. A social event in a stadium is selected as the evaluation environment, and is simulated for three scenarios using Software in the Loop (SITL) simulator with MAVLink Proxy drone controller. According to the evaluation results obtained from simulation logs, our design provides 13 % more endurance per ABS (η), an average of 15 % less energy consumption w.r.t. δ parameter and 11 % less γ value compared to the simple replenishment strategy.
       
  • Optimal Path Planning Strategies for Monitoring Coverage Holes in Wireless
           Sensor Networks
    • Abstract: Publication date: Available online 26 August 2019Source: Ad Hoc NetworksAuthor(s): Christopher Zygowski, Arunita Jaekel A Wireless Sensor Network (WSN) consists of sensor nodes, which are typically small low-power devices that occasionally have movement capabilities. These nodes monitor their neighbourhood for pertinent environmental changes and any detected events are relayed to a data sink for further analysis. Due to an imperfect initial deployment of sensor nodes, regions may form that are not within the sensing area of the any of the sensor nodes. These areas are referred to as "coverage holes" and may be covered using one or more mobile sensor nodes. Since coverage holes can be dispersed throughout the sensing region, efficient path planning of the mobile node(s) is critical to maximize area coverage in the lowest trip time. In this paper, we propose three Mixed Integer Linear Programming (MILP) formulations to guide a mobile node in an optimal manner. The goal is to route the mobile node in such a way that the required level of coverage can be achieved within a specified time. The first formulation maximizes area coverage, while the second and third minimize the required time. The performance of the MILPs is evaluated through simulations using various network sizes, node sensing and movement capabilities. Comparisons with heuristics and existing approaches in the literature clearly demonstrate that the proposed formulations can achieve superior results in a reasonable time frame.
       
 
 
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