Smart Strategies for Energy-Aware Rouge Node Detection in Mobile Ad-hoc Networks

Given the exponential growth in interest, vehicle ad-hoc networks, or VANETs, have received considerable attention. Because there is no infrastructure or central monitoring body, the nodes self-organize. Routing and data transmission are carried out collaboratively by the nodes. “Currently, they are extensively utilized across various sectors, including disaster management, context-aware computing, business partnerships, military operations, and emergency response coordination following a fire. Consequently, security emerges as a paramount concern and necessity. This paper delves into ad-hoc networks, aiming to uncover malicious nodes within the network. Within the vast array of VANET classifications, this study predominantly focuses on a multi-parameter optimized approach for identifying and isolating rogue nodes in vehicular networks. An approach to trust optimization has been devised, integrating factors such as energy consumption, average velocity, message traffic, end-to-end latency, packet loss, and throughput. The proposed optimization strategy surpasses previous studies in terms of effectiveness, achieving an efficiency rate of 90% in handling rogue nodes.