Research on Data Compression of WSN Based on Compressed Sensing

Jun Xia Li

doi:10.4028/www.scientific.net/AMM.686.423

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 686Research on Data Compression of WSN Based on...

Research on Data Compression of WSN Based on Compressed Sensing

Abstract:

For Wireless Sensor Networks (WSN) is responsible for sensing, collecting, processing and monitoring of environmental data, but it might be limited in resources. This paper describes in detail the compressed sensing theory, study the wireless sensor network data conventional compression and network coding method. The linear network coding scheme based on sparse random projection theory of compressed sensing. Simulation results show that this system satisfies the requirements of the reconstruction error of packets needed to reduce the number of nodes to the total number of 30%, improves the efficiency of data communications in wireless sensor network, reduce the energy consumption of the system. With other wireless sensor network data compression algorithm, the proposed algorithm has the advantages of simple realization, the compression effect is good, especially suitable for resource limited, and the accuracy requirements are not particularly stringent in wireless sensor networks.

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Periodical:

Applied Mechanics and Materials (Volume 686)

Pages:

423-428

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.686.423

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Online since:

October 2014

Authors:

Jun Xia Li*

Keywords:

Compressed Sensing, Distributed Compressed Sensing, Sparse Random Projection, Wireless Sensor Network (WSN)

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* - Corresponding Author

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