Title: Energy-efficient sink relocation using whale optimisation technique in virtual grid-based wireless sensor networks

Authors: A. Keerthika; V. Berlin Hency

Addresses: School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India ' School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

Abstract: Wireless Sensor Network (WSN) is an efficient network for monitoring and recording the physical environment and transfers the monitored data into the central location using widely distributed sensor nodes. One of the main problems in WSN is the issue of developing an energy-efficient routing protocol that achieves less energy consumption and enhances the lifetime of the network. During the past decades, researchers have used the mobile sink to reduce the energy problem and hotspot problems. In this work, Virtual Grid Based Energy Efficient Sink Relocation (VGESR) is proposed to solve these issues. The grid clustering is achieved by employing K-means clustering. After clustering, the Leader Node (LN) selection is done by calculating the Acceptability Factor (AF). Acceptability factor is calculated based on the nodes residual energy, Available bandwidth and Received Signal Strength (RSS). Whale Optimisation Algorithm (WOA) technique is employed for the optimal sink relocation based on the fitness value of the nodes. The results obtained from the simulation prove that the proposed VGESR performs well in terms of life span and energy utilisation. The proposed VGESR simulation is performed using the OMNet++ tool.

Keywords: acceptability factor; clustering; network lifetime; sink relocation; whale optimisation; wireless sensor networks.

DOI: 10.1504/IJWMC.2022.127590

International Journal of Wireless and Mobile Computing, 2022 Vol.23 No.3/4, pp.261 - 271

Received: 11 May 2021
Accepted: 11 Apr 2022
Published online: 12 Dec 2022 *

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