Energy and Congestion Aware Routing in MANET using Minmax Game Theory

MANET is a kind of infrastructure less Wireless network, which have more challenges due to its dynamic in nature. The performance of the network mostly affected by the energy and congestion. If we properly handle these parameters, the life span of the network also extended. Many optimisation techniques were applied by the researchers to achieve the performance of the network. Here, we have enhanced the GPSR protocol with Minimax game theory based optimization. Minimax game theory has applied with energy and congestion parametersto select the next neighbour node in the routing process. We have simulated this work in the NS2, from the results, we come to the conclusion that our proposed protocol perform well.