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Performance Optimization Based on Compressive Sensing for Wireless Sensor Networks

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Abstract

A routing algorithm, based on a dual cluster head redundant mechanism combined with compressive sensing data fusion algorithm, is proposed to improve reliability and reduce data redundancy of the industrial wireless sensor networks. The Dual cluster head alternation mechanism is adopted to balance the energy consumption of cluster head nodes. Through the compressive sensing data fusion technology to eliminate redundancy, effectively improve the network throughput of the sensor network. The simulation results show that the proposed algorithm is able to enhance the networks performance, significantly reduces the number of lost packets and extend the network’s lifetime.

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Acknowledgments

This work is supported by the Fundamental Research Funds for the Central Universities of China (2016MS35).

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Authors and Affiliations

  1. School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China

    Ju Yun, Yan Jiangyu & Xu Huan

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  1. Ju Yun
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  2. Yan Jiangyu
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  3. Xu Huan
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Correspondence to Ju Yun.

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Yun, J., Jiangyu, Y. & Huan, X. Performance Optimization Based on Compressive Sensing for Wireless Sensor Networks. Wireless Pers Commun 95, 1927–1941 (2017). https://doi.org/10.1007/s11277-016-3757-z

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