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An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things

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Smart Grid and Internet of Things (SGIoT 2020)

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Abstract

This work proposes a multi-criteria artificial bee colony (MABC) algorithm to optimize the energy consumption problem in wireless sensor networks. The approach uses the artificial bee colony (ABC) algorithm to discover sensor nodes in a network as a cluster header combination. Different nodes are dynamically selected according to their current status in the network. The purpose is to cluster sensor nodes in the network in such a way that nodes can transmit packets to their cluster header, and then identify the most energy efficient packet routing from the cluster headers to the Internet of Things (IoT) base station. The routing strategy takes into account nodes’ residual energy and energy consumption, routing distance, number of hops, and frequency, in order to assign decision scores to help the algorithm discover a better solution. The use case shows that the MABC algorithm provides energy-efficient packet routing, and thus extends the wireless sensor network lifespan, which is confirmed by the multi-criteria analysis evaluation of the candidate routing. The contribution of this research is its use of swarm intelligence algorithms in wireless sensor network routing, with a multi-criteria artificial bee colony algorithm used in a wireless sensor network to address the problem of fast convergence of the algorithm.

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Acknowledgement

This research was supported in part by the Ministry of Science and Technology, R.O.C. with a MOST grant 107–2221-E-025–005-.

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Authors and Affiliations

  1. Department of Information Management, National Taichung University of Science and Technology, North Dist, No.129, Sec.3, Sanmin Rd., 40401, Taichung, Taiwan, R.O.C.

    Chih-Kun Ke & Chia-Yu Chen

  2. Department of Business Management, National Taichung University of Science and Technology, 40401, Taichung, Taiwan, R.O.C.

    Mei-Yu Wu

Authors
  1. Chih-Kun Ke
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  2. Mei-Yu Wu
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  3. Chia-Yu Chen
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Corresponding author

Correspondence to Chih-Kun Ke .

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Editors and Affiliations

  1. National Chiao Tung University, Hsinchu, Taiwan

    Yi-Bing Lin

  2. National Changhua University of Education, Changhua, Taiwan

    Der-Jiunn Deng

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ke, CK., Wu, MY., Chen, CY. (2021). An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_21

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  • DOI: https://doi.org/10.1007/978-3-030-69514-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69513-2

  • Online ISBN: 978-3-030-69514-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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