An efficient compressive data gathering routing scheme for large-scale wireless sensor networks

Xuangou Wu, Yan Xiong, Wenchao Huang, Hong Shen, Mingxi Li

研究成果: Article同行評審

47 引文 斯高帕斯(Scopus)

摘要

Compressive sensing based in-network compression is an efficient technique to reduce communication cost and accurately recover sensory data at the sink. Existing compressive sensing based data gathering methods require a large number of sensors to participate in each measurement gathering, and it leads to waste a lot of energy. In this paper, we present an energy efficient clustering routing data gathering scheme for large-scale wireless sensor networks. The main challenges of our scheme are how to obtain the optimal number of clusters and how to keep all cluster heads uniformly distributed. To solve the above problems, we first formulate an energy consumption model to obtain the optimal number of clusters. Second, we design an efficient deterministic dynamic clustering scheme to guarantee all cluster heads uniformly distributed approximately. With extensive simulation, we demonstrate that our scheme not only prolongs nearly 2× network's lifetime compared with the state of the art compressive sensing based data gathering schemes, but also makes the network energy consumption very uniformly.

原文English
頁(從 - 到)1935-1946
頁數12
期刊Computers and Electrical Engineering
39
發行號6
DOIs
出版狀態Published - 8月 2013
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