Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Energy-Efficient Data Collection in Clustered Wireless Sensor Networks
  employing Distributed DCT   In this paper, a energy-efficient data collection method is proposed in which
an integration between Discrete Cosine Transform (DCT) matrix and clustering in
wireless sensor networks (WSNs) is exploited.Based on the fact that sensory
data in WSNs is often highly correlated and is suitable to be transformed in
DCT domain, we propose that each cluster from the networks only sends a small
number of large DCT transformed coefficients to the base-station (BS) for data
collection in two common ways, either directly or in multi-hop routing. All
sensory data from the sensor network can be recovered based on the large
coefficients received at the BS. We further analyze and formulate the
communication cost as the power consumption for transmitting data in such
networks based on stochastic problems. Some common clustering algorithms are
applied and compared to verify the analysis and simulation results. Both noise
and noiseless environments for the proposed method are considered.

9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat