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Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is majorly used for cluster head selection of Wireless Sensor Networks (WSNs). However, LEACH suffers from improper and ineffective Cluster Head (CH) selection, where the rapid drain of energy occurs in certain nodes and reduces network lifespan. This paper aimed at enhancing the LEACH protocol using residual energy-based CH selection towards optimizing energy efficiency in WSNs. The new approach focused on the importance of selecting higher residual energy nodes for CH deployment. MATLAB simulation was used to compare the effectiveness of the traditional LEACH protocol and the revised protocol in energy utilization and network efficiency. Findings showed the proposed adjustment had a significant level of suppressing node depletion and hence enhancing energy efficiency. This work has real-life applications in WSNs energy-efficient deployment in applications like IoT-based sensor networks and environmental sensing. The paper contributes to literature by proposing a dynamic CH selection process that ensures maximum network survivability without diminishing the simplicity of the LEACH protocol.
Keywords:
Ant Colony Optimization (ACO), Base Station, Cluster Heads (CHs), Low Energy Adaptive Clustering Hierarchy (LEACH), Packet Delivery Ratio (PDR), Wireless Sensor Networks (WSNs)
Cite Article:
"A Residual Energy Based Enhancement of LEACH Algorithm: Improving Energy Efficiency of Wireless Sensor Networks", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a138-a144, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504017.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator