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Water cycle algorithm perspective on energy constraints in WSN

Author

Listed:
  • Sudhanshu Tiwari

    (National Institute of Technology Patna)

  • Gaurav Kumar

    (National Institute of Technology Patna)

  • Ayush Raj

    (National Institute of Technology Patna)

  • Prateek

    (National Institute of Technology Patna)

  • Rajeev Arya

    (National Institute of Technology Patna)

Abstract

Water cycle algorithm (WCA) is a relatively new bio-inspired algorithm in the field of wireless sensor networks (WSN). In this work WCA has been applied independently to three energy models of WSN, with a view to optimize the energy spent on data communication in the nodes. By taking different sets of node population sizes, the energy performance is analyzed from the point of view of the percentage reduction of energy depleted, and the number of iterations needed to achieve the optimum value. Based on the simulation results, some salient trends are commented upon. The implementation renders an energy reduction of up to 46.24% in the sensor nodes, which is a promising outcome, and must be investigated further.

Suggested Citation

  • Sudhanshu Tiwari & Gaurav Kumar & Ayush Raj & Prateek & Rajeev Arya, 0. "Water cycle algorithm perspective on energy constraints in WSN," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-8.
  • Handle: RePEc:spr:ijsaem:v::y::i::d:10.1007_s13198-019-00784-y
    DOI: 10.1007/s13198-019-00784-y
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    References listed on IDEAS

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    1. Sunil Kr. Jha & Egbe Michael Eyong, 2018. "An energy optimization in wireless sensor networks by using genetic algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(1), pages 113-121, January.
    2. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
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