Intelligent trust assessment for efficient packet transmission in MANETs using fuzzy logic

A Mobile Ad Hoc Network (MANET) decentralized network requires an effective packet-transmission routing protocol. In MANET, routing protocols are vital in managing numerous resource-constrained nodes. As the network grows, increased overhead and congestion cause unpredictable routing, packet loss, and fluctuations. In this case, ensuring secure routing and efficient data management remains a significant challenge. We proposed a Trust is Valued via Fuzzy Logic Optimization (TB-FL) to address this. The proposed TB-FL is designed with trust-based node evaluation, which works efficiently to handle dynamic MANET architecture by ensuring secure packet transmission. Fuzzy Logic Optimization assesses network path trust levels, enhancing reliability. The TB-FL model continuously maintains trust assessments, adapting to dynamic network conditions. To determine the performance of the proposed TB-FL, a comparison work is carried out with the existing Adaptive Beaconing Strategy Based on the Fuzzy Logic Scheme for Geographical Routing (AFB-GPSR), Enhanced Virtual Cord Protocol (EVCP) and Optimized Control Interval-Optimized Link State Routing-Based Efficient Routing (OCI-OLSR) Mechanisms. Compared to existing approaches, the proposed ABC performs better with 100 nodes, including 99% PDR, 99% throughput, 30% routing overhead, 2 ms delay, 48% packet loss ratio, 100% security, and 520 J energy consumption. The comparison work observation shows an enhanced outcome compared to the others.