Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Energy Self-Sustainability of IoT via Distributed Compressed
  Sensing   This paper advocates the use of the distributed compressed sensing (DCS)
paradigm to deploy energy harvesting (EH) Internet of Thing (IoT) devices for
energy self-sustainability. We consider networks with signal/energy models that
capture the fact that both the collected signals and the harvested energy of
different devices can exhibit correlation. We provide theoretical analysis on
the performance of both the classical compressive sensing (CS) approach and the
proposed distributed CS (DCS)-based approach to data acquisition for EH IoT.
Moreover, we perform an in-depth comparison of the proposed DCS-based approach
against the distributed source coding (DSC) system. These performance
characterizations and comparisons embody the effect of various system phenomena
and parameters including signal correlation, EH correlation, network size, and
energy availability level. Our results unveil that, the proposed approach
offers significant increase in data gathering capability with respect to the
CS-based approach, and offers a substantial reduction of the mean-squared error
distortion with respect to the DSC system.

11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph