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Energy Saving Mechanism Using Extensive Game Theory Technique in Wireless Body Area Network (ES-EG)

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Computational Vision and Bio-Inspired Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1420))

Abstract

Wireless body area network (WBAN) is a low power sensor network. In tier2 communication, interference occurs when the sensor node of one WBAN comes closer to the coordinator of other WBAN or two coordinators of different WBANs work in equal frequency and try to communicate to the same access point simultaneously. Frequent battery replacement is a difficult task in low- power body area networks. Most of the existing works fail to discuss the impact of co-channel interference in tier2 on tier1. The proposed work energy saving with extensive game theory algorithm (ES-EG) adjusts the transmission power of nodes based on the power of neighboring sensor nodes and co-channel interference that occurs between the coordinators. This helps to reduce total energy consumption and average transmission power level (TPL). The coordinator operation in tier2 is represented as the entrant-incumbent game theory model. The proposed algorithm reduces the TPL of nodes in tier1 based on the status of the coordinator in tier2. The results are compared with the proactive-transmission power control (P-TPC) algorithm and gait cycle driven-transmission power control (G-TPC) algorithm. The ES-EG algorithm provides minimum transmission power level (TPL), normalized overhead, total energy consumption and packet dropping ratio compared to the existing algorithms.

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Authors and Affiliations

  1. Department of ECE, RMD Engineering College, Kavaraipettai, India

    M. Ayeesha Nasreen

  2. Department of IST, Anna University, Chennai, India

    Selvi Ravindran

Authors
  1. M. Ayeesha Nasreen
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  2. Selvi Ravindran
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Editor information

Editors and Affiliations

  1. Department of ECE, RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

  2. Departamento de Engenharia Mecanica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Ayeesha Nasreen, M., Ravindran, S. (2022). Energy Saving Mechanism Using Extensive Game Theory Technique in Wireless Body Area Network (ES-EG). In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1420. Springer, Singapore. https://doi.org/10.1007/978-981-16-9573-5_32

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