A Hybrid Genetic Algorithm-Based Secure Multipath Routing Protocol with Trust-Aware Clustering for Performance Optimization in MANETS

Abstract

Due to significant improvements in wireless communication, Mobile Ad Hoc Networks (MANET) have been utilized in different fields, such as power conservation, and the Internet of Things (IoT), etc.The present routing protocols employed in MANETs are limited by the concomitant issues. The network’s design challenges include limiting energy consumption and ensuring node security. This article presents the Hybrid Secured Routing Protocol (HSRP), which utilizes a Genetic Algorithm (GA) and an optimization approach to choose the most effective route in a multipath scenario. The research focused on selecting the most optimal route to reach the destination. The path with the most significant fitness score is considered optimalusing density maxima and selected Cluster Heads (CHs) according to recent, indirect, and direct trusts. CHs select the best route using the cumulative characteristics of the ideal route, such as throughput, delay, and routing overhead.By obtaining a 17% improved packet delivery ratio, a 11% reduction in routing overhead with minimal attack detection time (68.6 sec) when compared to conventional procedures, the suggested HSRP model shows notable advantages over current approaches. These developments highlight the model’s supremacy in energy conservation and dependable network performance.