Intelligent Routing in MANET Using Self-Adaptive Genetic Algorithm

At present, communication technology provides support for different varieties of mobile networks, and among them, mobile ad hoc network (MANET) is of prime importance and challenging. Topological change with time is the inherent characteristics in MANET. This occurs either to save the energy or mobility observed with nodes. Therefore, routing problem under MANET is also dynamic and can be formulated as a dynamic optimization problem. It is essential that the solution should have a high level of adaptability to define dynamic routing. In this paper, high level of adaptiveness has achieved by designing the different strategies under genetic algorithm like redefinition of solution population, small random perturbation, and sharing the gained knowledge to current solution. The proposed solution has achieved optimal routing in a very efficient way under dynamic topology.