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Optimizing Node Coverage and Lifespan of Wireless Body Area Network Using Hybrid Particle Swarm Optimization

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International Conference on Communication, Computing and Electronics Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 733))

Abstract

Wireless body area network (WBAN) is one of the emerging wireless sensor networks for medical applications and treatments with the constrained power of numerous tiny sensors. Nowadays, many of these medical application researches focus on the low-power propagation sensing units in the mesh of the health monitoring system. This article expounds on the applicability of a discrete version of a popular benchmark swarm intelligence algorithm PSO called discrete particle swarm optimization (DPSO) and its hybrid version for energy-optimized WBAN using node coverage. DPSO-based WBAN model optimizes the node coverage for uninterrupted connectivity over the longest possible network life. The network simulator NS-2, for creating WBAN nodes, installation, connection, data transmission in the network environment is used. The simulation results showed that the proposed WBAN model has better performance in the terms of node coverage and network lifespan.

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Authors and Affiliations

  1. Department of Computer Science, Periyar University, Salem, Tamil Nadu, India

    S. Selvaraj & R. Rathipriya

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  1. S. Selvaraj
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  2. R. Rathipriya
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Corresponding author

Correspondence to R. Rathipriya .

Editor information

Editors and Affiliations

  1. Department of ECE, PPG Institute of Technology, Coimbatore, India

    V. Bindhu

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

    João Manuel R. S. Tavares

  3. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Alexandros-Apostolos A. Boulogeorgos

  4. San Jose State University, San Jose, CA, USA

    Chandrasekar Vuppalapati

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Selvaraj, S., Rathipriya, R. (2021). Optimizing Node Coverage and Lifespan of Wireless Body Area Network Using Hybrid Particle Swarm Optimization. In: Bindhu, V., Tavares, J.M.R.S., Boulogeorgos, AA.A., Vuppalapati, C. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 733. Springer, Singapore. https://doi.org/10.1007/978-981-33-4909-4_61

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  • DOI: https://doi.org/10.1007/978-981-33-4909-4_61

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4908-7

  • Online ISBN: 978-981-33-4909-4

  • eBook Packages: EngineeringEngineering (R0)

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