Routing Optimization Using Genetic Algorithm in Mobile Ad Hoc Network
Mobile ad-hoc networks usually consist of mobile battery operated computing devices that communicate over the wireless medium and they have limited battery capacity. In this the author have proposed protocol provides secure and adaptive backup routing protocol for MANET. Genetic Algorithm (GA) is used to find the optimal path from the available multiple paths between source and destination to be used in the case of link failure problems. To improve routing mechanism, the authors use buffer size, end to end delay and shortest path as the parameters for GA in route discovery. GA allows for self-configuration systems and maintains state information about the neighboring network. GA's are able to find, if not the shortest, at least an optimal path between source and destination in mobile ad-hoc network nodes.