Volume 17, Number 1

A Novel Cluster Head Selection Algorithm to Maximize Wireless Sensor Network Lifespan

  Authors

Almamoon Alauthman ¹ and Wan NorShuhadah Wan Nik ², ¹ Al-Balqa Applied University, Jordan, ² University Sultan Zainal Abidin, Malaysia

  Abstract

Wireless Sensor Networks (WSNs) are crucial for various applications such as environmental monitoring, industrial automation, and healthcare. However, the constrained energy resources of sensor nodes have a substantial effect on the longevity and performance of these networks. To address this issue, this paper introduces the Optimized Energy Efficient algorithm in Wireless Sensor Networks through Cluster Head Selection Using Residual Energy and Distance Metrics together. The study offers a new approach to selecting cluster heads by combining residual energy and distance metrics. The proposed algorithm called modified intelligent energy efficiency cluster algorithm (MIEEC-A), that enhances WSN energy efficiency by choosing nodes with high residual energy and close proximity to their neighbours as cluster heads. Extensive simulations and evaluations show that this approach effectively extends network lifetime, improves data aggregation, and boosts energy efficiency, thus making a valuable contribution to WSN lifetime.

  Keywords

WSN, Cluster Head, Cluster Distance, Residual Energy, Sensor Node, BCE-LEACH, IEEC-A, OEE-WCRD