AAODV: Trust-Based Congestion-Aware Routing for Enhanced Network Security and Performance in MANETs

Abstract

The security risks for mobile ad hoc networks (MANETs) are increasingly evident, affecting network performance and data integrity. To address these challenges, In AAODV this is introduced that Advanced Ad-hoc On-Demand Distance Vector (AAODV), a novel secure protocol that employs multipath routing with trust-based security and performance methodologies. AAODV method tackles the route discovery part of the AODV protocol, in the sense that a dynamic trust assessment mechanism is utilized to decide the node that would become the node on the route, a congestion based routing, and a real time detection of rogue nodes. Simulation experiments conducted on the NS2 platform revealed significant improvements in packet delivery ratio (PDR) and throughput, as well as significantly higher effective identification of malicious nodes compared to existing AODV implementations. It is shown that the protocols enhanced AODV considerably attenuates the detrimental effects of malicious attacks while maintaining network performance. For highly dynamic and unstructured environments, the AAODV protocol is effective, making it a viable alternative for military, disaster recovery, and IoT applications. Future work could focus on further optimizing the trust assessment algorithm and exploring its scalability in larger and more complex network scenarios.