Efficiency and Security in WSN Routing through Hybrid Algorithm Fusion

doi:10.23940/ijpe.24.03.p5.167176

Abstract

Abstract: Wireless Sensor Networks (WSNs) are pivotal in data collection and monitoring across various domains. This study introduces a novel approach that combines firefly, Neural Network, AODV, and LEACH algorithms in the route discovery phase and firefly and neural techniques in the ranking phase to optimize route transitions within WSNs. Through a comprehensive analysis, the Proposed algorithm consistently outperforms existing solutions, including Fotohi & Firoozi and Sharma et al., regarding Throughput, Packet Delivery Ratio (PDR), and Energy Consumption. Notably, at Node Range 40, the Proposed algorithm achieves a significantly higher Throughput of 9758.94 compared to 9333.39 and 9368.25 achieved by Fotohi & Firoozi and Sharma et al., respectively. This superior performance extends to larger WSNs, highlighting its scalability. Moreover, the Proposed algorithm exhibits exceptional reliability, consistently delivering higher PDR values. This reliability ensures data integrity and network stability, essential factors in WSNs.

Key words: WSN, neural, efficiency, security

Kanchan Bala Jaswal and Pawan Thakur. Efficiency and Security in WSN Routing through Hybrid Algorithm Fusion [J]. Int J Performability Eng, 2024, 20(3): 167-176.

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