DS Journal of Digital Science and Technology (DS-DST)

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Volume 2 | Issue 2 | Year 2023 | Article Id: DST-V2I2P101 DOI: https://doi.org/10.59232/DST-V2I2P101

The Improvements of Cluster Head Optimization Problems in WSNs Using an Improved Node Selection Model

T.Kiruthiga, K.Vijayakumar, M.Sutharsan

ReceivedRevisedAcceptedPublished
04 Feb 202324 Feb 202306 Mar 202327 Apr 2023

Citation

T.Kiruthiga, K.Vijayakumar, M.Sutharsan. “The Improvements of Cluster Head Optimization Problems in WSNs Using an Improved Node Selection Model .” DS Journal of Digital Science and Technology, vol. 2, no. 2, pp. 1-12, 2023.

Abstract

WSNs are networks of tiny wireless sensors that track changes in environmental variables like pressure, temperature, humidity, and motion. In these networks, data is often transmitted from the source to the sink node through a gateway connected to sensor nodes. In a WSN, choosing a CH is a crucial choice that must be made to guarantee effective network operation. Choosing a CH wisely is essential for the network to run effectively and offer its consumers high-quality service. This work addresses the CH problem in WSN using a novel optimization approach and an improved node selection model (EENSA). The new system's effectiveness is evaluated regarding energy consumption, network lifetime, CH selection, power-aware routing, and throughput compared to the existing methods, Multi-Objective Genetic Algorithms (MOGA), and Gravitational Search Algorithm (GSA). As a result, our suggested technique improves throughput and network longevity while consuming less energy.

Keywords

WSN, CH, Energy-Efficiency, Node selection, Genetic algorithm

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The Improvements of Cluster Head Optimization Problems in WSNs Using an Improved Node Selection Model