An Energy Aware Genetic Algorithm Multipath Distance Vector Protocol for Efficient Routing

Mobile Adhoc Networks (MANETs) are networks that are dynamic and lacking infrastructure, with a set of wireless mobile nodes transmitting with one another with wireless links. MANET has no central controlling device and has constantly shifting topologies. Routing algorithms have a major part in communicating information over a system. Routing protocols has two noteworthy arrangements are unipath and multipath. The current work assesses execution of an on-demand multipath routing protocol called Adhoc On-demand Multipath Distance Vector (AOMDV) routing. This paper suggests an energy-aware Genetic Algorithm (GA) based Multipath Distance Vector Protocol. GA has been viewed as one of the meta-heuristic strategies created to take care of the optimization issues utilizing the simulation of the conduct of the hereditary operators. Simulation results demonstrate the high accuracy and quality of the suggested technique for the optimization strategies achieved by the GA.