Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks

We consider monitoring applications in multihop wireless sensor networks (WSNs), where nodes rely on limited batteries so that energy efficiency and reliability are of paramount importance. Typically, lossy compression is aimed at saving transmission energy, yet affects the quality of transmitted da...

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Vydané v:Wireless communications and mobile computing Ročník 2020; číslo 2020; s. 1 - 15
Hlavní autori: Chen, Daijie, Zhao, Dan, Qian, Zhixiang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
John Wiley & Sons, Inc
Predmet:
Adaptive systems
Coding
Communication
Compression tests
Data compression
Energy conservation
Energy consumption
Energy efficiency
Error correction
Error correction & detection
Fourier transforms
Internet of Things
Network reliability
Performance evaluation
Sensors
Wireless networks
Wireless sensor networks
ISSN:1530-8669, 1530-8677
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Shrnutí:We consider monitoring applications in multihop wireless sensor networks (WSNs), where nodes rely on limited batteries so that energy efficiency and reliability are of paramount importance. Typically, lossy compression is aimed at saving transmission energy, yet affects the quality of transmitted data over lossy channels. Accordingly, using error correction coding (ECC) along with compression is required to guarantee both energy efficiency and high-fidelity reconstruction. In this paper, we analyze the energy efficiency of the joint use of lossy compression along with ECC, with the twofold objective of extending the network lifetime and assuring reliability. Specifically, we consider an adaptive joint lossy source-channel coding (JLSCC) system, where the energy efficiency and reliability performances depend on both the compression and the coding rates. Therein, we first carry out a performance analysis of JLSCC, considering realistic models of communication and computational energies, when the communication is performed over a Rayleigh fading channel. Then, we evaluate the performance of the JLSCC system compared to lossy compression and ECC systems in both end-to-end and multihop communications. Our results reveal that an adaptive JLSCC results in substantial energy saving while guaranteeing the required reliability performance, compared to both lossy compression and channel coding systems, that cannot be efficient for both energy and reliability. Instead, the JLSCC system is proved to be energy efficient for small distance end-to-end communication and large-scale multihop network, while leading to satisfactory reliability performance.
Bibliografia:ObjectType-Article-1
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ISSN:1530-8669
1530-8677
DOI:10.1155/2020/2127467