JARROT BUTTERFLY OPTIMIZED FLAMINGO SEARCH ALGORITHM FOR OPTIMAL ROUTING IN WSN
Journal Title: International Journal of Data Science and Artificial Intelligence - Year 2024, Vol 2, Issue 02
Abstract
Wireless sensor networks (WSN) are widely used nowadays, particularly for automated event tracking and monitoring. However, certain issues persist as a result of inadequate cluster formation and CH selection methods, such as isolated node issues and energy gaps. To overcome these challenges, this paper addresses a novel by proposing Hybrid Optimization integrated Optimal Routing in WSN (HOOR-WSN) framework to increase the energy efficiency in WSN network. Initially, the number of clusters is formed via probability-based Whale Optimization Algorithm (p-WOA). After clustering, an optimal CH is selected using Jarratt-Butterfly Optimization Algorithm (JBOA) based on Residual energy and Node Centrality. At last, the Flamingo Search Algorithm (FSA) is used to find the optimal route for sending the data between the sensor nodes and the base stations, so as to establish a better communication. The proposed scheme is simulated by using Network simulator2 (NS2) and a comparison is made between proposed HOOR-WSN and existing approaches such as SDWSN-EPM, BFSRF, CoFEE and SCNN-Bi-LSTM in terms of PDR, energy consumption, and throughput. The proposed HOPI-NET approach outperforms the existing techniques such as SDWSN-EPM, BFSRF, CoFEE and SCNN-Bi-LSTM in terms of energy consumption of 297.34%, 286.87%, 279.56%, and 240.21% respectively.
Authors and Affiliations
M. Ramya Devi, K. V. Sreelekhar, R. Jayaraj
Keywords
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