ETB-SRF: An Efficient Trust-Based Secure Routing framework in Mobile Ad-Hoc Networks

Abstract

Mobile Ad-hoc Networks (MANETs) are a wireless network technology still in its early stages. Even when the network believes that all of its mobile nodes are trusted, it is difficult to detect the malicious nodes in the actual scenario. As a result, it is critical to propose a technique to ensure security by picking the best data forwarding path. Dingo Optimizer (DOX), a meta-heuristic model for secure routing, is presented in this paper. The multi-objective optimization model considers several Quality of Service (QoS) characteristics, including distance, energy latency, connection lifetime, and trust. A fitness function is proposed for the optimum route selection using the predicted multi-objective parameters. Three measures are used to assess the proposed algorithm's performance: Packet Delivery Ratio (PDR), End to End Delay (EED), and Routing Overhead (RO). Finally, it is compared with the MCFEER, PEER, ReTE-AODV, EESMR, and dynamic fuzzy clustering. The base protocol performance is always observed high, but if we compare the performance of the proposed protocol with the other developed protocols, then we can say that TRU-AODV has a high PDR. During the analysis of E2E, it's being observed that the proposed protocol has a minimum delay at every increasing node count.