Optimal route maintenance based on adaptive equilibrium optimization and GTA based route discovery model in MANET

Recently, routing is considered the main problem in MANET due to its dynamic nature. The route discovery and optimal selection from multiple routes are established for efficient MANET. major objective of this research select packet transmission In paper, four stages namely trust evaluation, discovery, optmal maintanance elucidated. Initially, evaluation made by using ANFIS where primary values evaluated. next stage scheme, which Group teaching optimization algorithm (GTA). From found. selected with help Adaptive equilibrium optimizer (AO) algorithm. Finally, maintenance process established; if any fails broadcast it immediately selects alternate multi-zone table transmission. proposed approach evaluated various performance measures like throughput, energy consumption, delivery ratio, end-to-end delay, loss rate, detection overhead. This result describes that outperforms other state-of-art approaches.