Mobile Adhoc Network (MANET) is a wireless network in which data is transferred in a forwarding direction from the source node to the destination node via #Stockmans breastplate multiple intermediate nodes.Packets collision is considered one of the most crucial limitations in MANETs because the nodes in the network move in random directions at a random velocity which increases the probability of collision and this will harm the throughput, the routing overhead, and the end-to-end delay.Also, frequent node mobility leads to a topological change and link instability and this reduces the data delivery rate.
Because of limited available paths to the destination node or having a high traffic load, the possibility of traffic congestion augments at the intermediate nodes which in turn affects Solid Hotplate Protector the packet delivery, particularly with real-time applications in MANETs.In this paper, we propose an adaptive routing protocol based on a bio-inspired genetic algorithm (GA).We optimize the multiple paths returned by the AOMDV mechanism (AOMDV-FG) to select the best path to the destination.
The route with the highest fitness value is considered the most optimum route.Lastly, we compare our proposed protocol with AOMDV-TA and EHO-AOMDV.We have used routing overhead, end-to-end delay, throughput, energy consumption, and packet delivery ratio as key metrics for the performance evaluation of our proposed model.