太赫兹科学与电子信息学报Issue(1)：96-100,5.
传感器网络中基于时空相关性的压缩感知算法
Compressed sensing algorithm based on temporal and spatial correlation in Wireless Sensor Networks
张建新 1刘郁林 1王开 1孙奥1
作者信息
- 1. 重庆通信学院 DSP研究室，重庆 400035
- 折叠
摘要
Abstract
The compressed sensing model and algorithm adopting the temporal and spatial correlation of intra-node and inter-node are employed in order to cut the energy consumption of sensor nodes. The data amount of communication can be reduced, therefore, the energy consumption can be saved, and the life cycle of the network can be extended. Relatively simple compressed sensing algorithm based on clustering protocol and multi-hop routing optimization at the cluster head node can reduce the calculation complexity. The matrix vector of function and Kronecker product are used for data processing, thus reduces the complexity. The effectiveness and practicality of the model and algorithm are verified by the error analysis on the measured data and the energy consumption simulation.关键词
无线传感器网络/压缩感知/簇头节点/时空相关性Key words
Wireless Sensor Networks/compressed sensing/cluster head nodes/temporal and spatial correlation分类
信息技术与安全科学引用本文复制引用
张建新,刘郁林,王开,孙奥..传感器网络中基于时空相关性的压缩感知算法[J].太赫兹科学与电子信息学报,2013,(1):96-100,5.
