Enhancing the Security and Efficacy of Wireless Network Routing using Hybrid Algorithm Fusion

Abstract

Wireless Sensor Networks (WSNs) play an important role in data collecting and monitoring across many areas. This study presents a novel approach that integrates firefly, neural network, AODV, and LEACH algorithms in the route discovery phase, as well as firefly and neural techniques in the ranking phase, with the goal of optimising route transitions within WSNs. After conducting a thorough examination, the proposed algorithm consistently outperforms existing solutions, including Fotohi & Firoozi and Sharma et al., in terms of throughput, packet delivery ratio (PDR), and energy consumption. Notably, for Node Range 40, the proposed algorithm produces a much greater Throughput of 9759.04 than Fotohi and Firoozi and Sharma et al., which achieved 9333.39 and 9368.25, respectively. This higher performance extends to bigger WSNs, demonstrating scalability. Furthermore, the proposed technique is exceptionally reliable, constantly producing higher PDR values. This dependability provides data integrity and network stability, two critical  criteria in WSNs.