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An energy-efficient dynamic decision model for wireless multi-sensor network

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Abstract

This paper proposes an energy-efficient dynamic decision model for wireless multi-sensor network, which is based on the dynamic analysis of the energy consumption characteristics of wireless multi-sensor nodes. We analyze the behaviors of the nodes in wireless multi-sensor network and introduce the existing energy-efficient decision methods, then propose a simple dynamic decision model and prove it theoretically. This paper uses MATLAB 2015 to carry out simulation experiments under the condition of fixed routing protocol based on tree topology and two low-power routing protocols based on mesh topology, and simulation results show that the network lifetime is obviously prolonged. Extending the application of the proposed decision model to aquaculture environmental monitoring system, testing results show that the proposed decision model can effectively reduce the network energy consumption, and be promising when generalized to other applications.

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Acknowledgements

This work was supported by National Natural Science Foundation of China under Grant Nos. 61402210 and 60973137, State Grid Corporation Science and Technology Project under Grant No. SGGSKY00FJJS1700302, Program for New Century Excellent Talents in University under Grant No. NCET-12-0250, Major National Project of High Resolution Earth Observation System under Grant No. 30-Y20A34-9010-15/17, Key R&D projects in Gansu Province under Grant No. 17YF1GA013, Gansu Academy of Sciences application development project under Grant No. 2017JK-06, Strategic Priority Research Program of the Chinese Academy of Sciences with Grant No. XDA03030100, Google Research Awards and Google Faculty Award.

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Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu province, People’s Republic of China

    Xuhui Yang, Qingguo Zhou, Jinqiang Wang & Rui Zhou

  2. Gansu Province Key Laboratory of Sensors and Sensing Technology, Institute of Sensor Technology, Gansu Academy of Sciences, Lanzhou, Gansu province, People’s Republic of China

    Xuhui Yang

  3. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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  1. Xuhui Yang
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  2. Qingguo Zhou
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  3. Jinqiang Wang
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  4. Rui Zhou
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  5. Kuan-Ching Li
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Correspondence to Qingguo Zhou.

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Yang, X., Zhou, Q., Wang, J. et al. An energy-efficient dynamic decision model for wireless multi-sensor network. J Supercomput 76, 1585–1603 (2020). https://doi.org/10.1007/s11227-018-2419-1

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