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Adaptive Clustering in Energy Efficient Routing Protocol for Mobile Nodes in WSNs

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  • Zawar Khan

    (Electrical Engineering Department, University of Engineering and Technology, Peshawar)

Abstract

Introduction:Wireless Sensor Networks (WSN) is a collection of large number of smallsensor nodes which communicate sensed data over a radio channel covering wide geographical region.Problem statement:A number of algorithms have been developed to enhance the network lifetime of WSN by efficiently utilizing the sources of energy. The most commonly used approach is clustering that is prone to uneven load balancing and instability issues. Furthermore, topological changes in WSN structure especially with mobile nodes significantly effectnetwork lifetime.Methodology:In this study,we have proposed an Adaptive-Cluster-based EnergyEfficient Routing Protocol (A-EECBRP),which employs a novel geometrical Voronoi-based configuration to solve load balancing and mobility issues while maintaining network stability and coverage. Furthermore, energy cost function and Energy Harvesters (EH) devices were implemented to reduce energy consumption and increase network life. Moreover, the concept of handshaking and random waypoint model for nodes movement between cluster groups was examined to definemobile nodes. Results:Simulation results obtained from network analysis performed on MATLAB® showed that A-EECBRP reduced energy consumption by almost 1500 rounds as compared to LEACH-M. This significantly improved the network lifetime of WSNas compared to the LEACH-M routing protocol. Therefore, our proposed scheme provides a huge potential for implementing energy-efficient routing protocols in mobile wireless sensor networks.

Suggested Citation

  • Zawar Khan, 2022. "Adaptive Clustering in Energy Efficient Routing Protocol for Mobile Nodes in WSNs," International Journal of Innovations in Science & Technology, 50sea, vol. 4(3), pages 738-750, June.
    • Handle: RePEc:abq:ijist1:v:4:y:2022:i:3:p:738-750
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    References listed on IDEAS

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    1. 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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