Paper Info
Title
A Practical Joint Network-Compressed Coding Scheme for Energy-Efficient Data Gathering in Cooperative Wireless Sensor Networks.
Abstract
Energy efficiency and reliability are a pair of the most important factors in wireless sensor networks (WSNs). Recent research results have demonstrated that the previously suggested scheme of the joint network-coding-compressive-sensing can greatly improve the energy efficiency and the communication reliability of WSNs. In this paper, we propose a practical scheme, Non-Binary Joint Network-Coding Compressed-Sensing(NB-JNCCS), for energy-efficient multi-hop communication in cooperative WSNs. Specially, NB-JNCCS combines non-binary compressive sensing and random linear network coding through iterative joint decoding, which helps to fully exploit the compressibility and redundancy residing in both compressed sensing and network codes, respectively. Through both simulation and analysis, we demonstrate the proposed NB-JNCCS outperforms other compared schemes.
Year
Venue
Field
2017
CSE/EUC
Linear network coding,Key distribution in wireless sensor networks,Efficient energy use,Computer science,Computer network,Redundancy (engineering),Decoding methods,Wireless sensor network,Compressed sensing,Encoding (memory),Distributed computing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
12
4
Name
Order
Citations
PageRank
Xingcheng Liu16617.47
Kai Cao223.43
Feng Han31811.31
Paul Cull492.29