Energy Aware Routing through Genetic Algorithm and AOMDV in MANET
Keywords:
Genetic Algorithm, shortest path, optimal route, Fitness value, congestion, and energyAbstract
A MANET is an accumulation of different radioed-on-the-air hardware devices connected together temporarily based on the transmission range in the absence of any framework. Energy is the major factor to utilize efficiently to enlarge the longevity of the network as a result, nodes contain mobility that cannot provide continuous energy. Each mobile node will get energy from the power unit which will be depleted in a short time due to the movement of a node, Continuous transmissions, and finding the path. Also heavy loss of data while transmission because of collisions in the network. Heavy loss of data will result in slowing down the packet delivery during the transmission. Here we render the serious problems in the infrastructure-less wireless network. We proposed a new optimized Genetic Algorithm(GA) with the assistance of suitable methods i.e. FF to procure the optimum route against all the possible multiple routes with the help of Ad-hoc On Demand Multi Path Distance Vector routing protocol (AOMDV). We also merged with optimized Genetic Algorithm with one of the finest multi-path routing protocols named GA-AOMDV. These techniques are furnished to select the optimum path in accordance with the distance between the wireless devices i.e. shortest path, high fitness value, congestion in the network, and utilization of the energy. The performance of the suggested technique was collated with the other suitable protocols.
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