Wireless Sensor Networks with Dynamic Advanced Node ‎Selection for Longer Network Lifetime in Energy Hole ‎Evolution

  • Authors

    • S. Suren Kumar Research Scholar, Department of Computer Science and Information Science,‎ Annamalai University, Chidambaram, Tamil Nadu, India‎
    • Dr. S. Murugan Assistant Professor, Dr. M. G. R. Gvt Arts and Science College for Women,‎ Villupuram, Tamil Nadu, India
    https://doi.org/10.14419/z4f5hn69

    Received date: May 6, 2025

    Accepted date: May 18, 2025

    Published date: June 10, 2025

  • Wireless Sensor Networks; Traffic Volume; Energy Usage; Network Lifetime; Energy Hole Issue

  • Abstract

    Wireless sensor networks (WSNs) that collect data using battery-powered sensor nodes that sometimes detect their surroundings and send ‎the samples they acquire to a sink node are evaluated using network lifespan, a critical performance metric. The network's performance ‎deteriorates due to two main issues. One is the void hole that develops in a certain area due to the forwarder nodes not being available. The ‎other is the existence of an energy hole brought on by an uneven load of data traffic on intermediary nodes. This research aims to identify ‎the boundaries of an energy hole in a WSN that collects data and offers a mathematical framework to determine the network's lifetime from ‎the beginning to the end. Theoretically, the traffic load, energy usage, and sensor node longevity are calculated throughout the entire ‎network lifetime. In this paper, we present a scientific approach to determine the energy opening limit in an information-gathering WSN and ‎measure the entire organization's lifetime from network introduction till it is completely crippled. Experimental implementations of the ‎proposed framework show significant energy savings, network lifespan extension, and QoS improvements. AI-Driven Power Optimization ‎in IoT-enabled WSN is proven effective and flexible‎.

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  • How to Cite

    Kumar, S. S. ., & Murugan , D. S. . (2025). Wireless Sensor Networks with Dynamic Advanced Node ‎Selection for Longer Network Lifetime in Energy Hole ‎Evolution. International Journal of Basic and Applied Sciences, 14(2), 125-131. https://doi.org/10.14419/z4f5hn69