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A novel algorithm for wireless sensor network routing protocols based on reinforcement learning

Author

Listed:
  • Anil Kumar Yadav

    (IES College of Technology)

  • Purushottam Sharma

    (Amity University Uttar Pradesh)

  • Rakesh Kumar Yadav

    (IFTM University)

Abstract

Major challenging problems for wireless sensor networks are the utilization of energy and lifetime routing maximization in the network layer. In wireless sensor network protocols are more critical over data routing in the network. Energy awareness has been described in the context of data-centric, spatial based and categorized protocols. This research paper presents energy consumption analytical analysis based on adoptable routing algorithms based on reinforcement learning using Q-Learning algorithms. Performance comparisons with distributed routing algorithms in the context of the rate of delivery, energy consumption, flow rate, number of packets lost and lifetime of the system were evaluated.

Suggested Citation

  • Anil Kumar Yadav & Purushottam Sharma & Rakesh Kumar Yadav, 2022. "A novel algorithm for wireless sensor network routing protocols based on reinforcement learning," 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. 13(3), pages 1198-1204, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01414-2
    DOI: 10.1007/s13198-021-01414-2
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