DocumentCode :
1849071
Title :
A Chain-Based Data Gathering Protocol Under Compressive Sensing Framework for Wireless Sensor Networks
Author :
Dongfeng Xie ; Qianwei Zhou ; Jianpo Liu ; Baoqing Li ; Xiaobing Yuan
Author_Institution :
Wireless Sensor Network Lab., Shanghai Inst. of Microsyst. & Inf. Technol., Shanghai, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
1479
Lastpage :
1482
Abstract :
This paper proposes an efficient data gathering protocol for large scale wireless sensor networks by using the compressive sensing technology. All sensor nodes construct a chain by a greedy algorithm. Data packets are transmitted through this chain from one node to another and till the end node of the chain. This end node, namely chain leader, then relays all packets to the base station. By using compressive sensing technology, all sensing data can be simultaneously transmitted and aggregated to a few packets by relaying nodes. The base station is responsible for recovering every node´s data according to these few packets. Simulation results show that this method can reduce the energy consumption of large scale wireless sensor network.
Keywords :
compressed sensing; greedy algorithms; protocols; wireless sensor networks; chain-based data gathering protocol; compressive sensing framework; compressive sensing technology; data packets; efficient data gathering protocol; energy consumption; greedy algorithm; large scale wireless sensor networks; relaying nodes; Base stations; Compressed sensing; Greedy algorithms; Matching pursuit algorithms; Protocols; Vectors; Wireless sensor networks; PEGASIS; chain-based; compressive sensing; data gathering; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.390
Filename :
6643308
Link To Document :
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