Efficient clustering data collection protocol via hybrid compressed sensing

Since compressive sensing (CS) provides a novel number of measurements, the energy consumption for data gathering in WSNs is reduced significantly. This paper investigated the application of CS to data collection in wireless sensor networks and aimed at minimizing the network energy consumption thro...

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Bibliographic Details
Published inJi suan ji ying yong yan jiu Vol. 32; no. 12; pp. 3756 - 3759
Main Authors Shi, Jiugen, Song, Zhengchao, Zhu, Wei
Format Journal Article
LanguageChinese
Published 01.12.2015
Subjects
Algorithms
Clusters
Computer networks
Computer simulation
Detection
Energy consumption
Networks
Remote sensors
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Summary:Since compressive sensing (CS) provides a novel number of measurements, the energy consumption for data gathering in WSNs is reduced significantly. This paper investigated the application of CS to data collection in wireless sensor networks and aimed at minimizing the network energy consumption through joint routing and compressed sensing, the sink collected the M projections from N sensors. In the cluster, the common sensors sent their data to the cluster head directly, the cluster head aggregated the received data using CS and forward them to the sink or father cluster head via a backbone routing tree. Furthermore, the paper analyzed the relationship between the network energy consumption and cluster size. The simulation results show that the proposed algorithm is effective, and is better than other existed algorithm in terms of energy consumption.
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ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2015.12.053