摘要
针对无线传感器网络节点能量有限的特点,基于网络节点间感知数据在空间上具有相关性,提出一种适用于无线传感器网络的基于边信息的分布式压缩感知算法。该算法在簇头接收的多个信号中,选择其中一个信号作为边信息,来优化其他信号的压缩以及解压过程,使得其他信号能够得到最大程度的压缩。仿真结果表明,该算法能够有效地压缩信号,并且能减少整个网络的能量消耗。
In view of limited energy of wireless sensor network nodes and spatial correlation of sensing data between network nodes, this paper puts forward a distributed compressed sensing algorithm based on edge information, which suitable for wireless sensor network.In this algorithm, one of multiple signals received at cluster heads is selected as edge information to optimize the compression and decompression process of other signals, which enables the other signals to get the maximum compression.The simulation results show that the proposed algorithm can compress the signal effectively, and can reduce energy consumption in whole network.
作者
刘晓彤
LIU Xiao-tong(Chongqing Municipal Key Laboratory of mobile communication, Chongqing University of Posts and Telecommunications Chongqing 400065, Chin)
出处
《无线电通信技术》
2017年第1期23-26,共4页
Radio Communications Technology
基金
长江学者和创新团队发展计划(IRT1299)
重庆市科委项目(CSTC2012jjA40044
cstc2013yykfA40010)
重庆市科委重点实验室专项经费资助课题
关键词
无线传感器网络
分布式压缩感知
边信息
能耗
wireless sensor network （WSN）
distributed compressed sensing （DCS）
edge information
energy consumption
