Hybridization of Energy Optimization Technique for Cluster Based Routing using Various Computational Intelligence Methods in WSN

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Published: May 5, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i4s.6535
Keywords:
WSN, Clustering, Routing, QoS

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Venu Mangipudi
Research Scholar, Department of ECE, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr, Sagunthala R&D Institute of Science and Technology Avadi Chennai, India
G. Aloy Anuja Mary
Professor, Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr, Sagunthala R&D Institute of Science and Technology Avadi Chennai, India

Abstract

Approaches in WSN technology has determined by opportunity of tiny and inexpensive sensor nodes with adequacy of sensing multiple kinds of information processing and wireless communication. Network lifetime and energy efficiency are major indexes of WSN. Several clustering techniques are intended to extend the network lifetime but whereas there is an issue of incompetent Cluster Head (CH) election. To overcome this issue, an Integration of Novel Memetic and Brain Storm Optimization approach with Levy Distribution (IoNM-BSOLyD) has been proposed for clustering using fitness function. In the meanwhile, election of CH is done by utilizing fitness function, which incorporates following amplitude such as energy, distance to adjacent nodes, distance to BS, and network load. After clustering, routing techniques decides the detecting and pursuing the route in WSN. In this proposed work, a Water Wave Optimization with Hill Climbing technique (WWO-HCg) is introduced for routing purpose. This proposed methodology deals with ternary QoS aspect such as network delay, energy consumption, packet delivery ratio, network lifetime and security to select optimal path and enhance QoS as well. This proposed protocol provides better performance result than other contemporary protocols.

Article Details

How to Cite
Mangipudi, V. ., & Mary, G. A. A. . (2023). Hybridization of Energy Optimization Technique for Cluster Based Routing using Various Computational Intelligence Methods in WSN. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4s), 250–259. https://doi.org/10.17762/ijritcc.v11i4s.6535
Issue
Vol. 11 No. 4s (2023)
Section
Articles

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