Research Of Hybrid Intelligent Optimization Algorithm In Ad Hoc Network Energy-saving

With the development of modern computer network and wireless communications technology continues, Ad Hoc network has also been widely promoted and applied, especially in the military information, post-disaster recovery is no way to build wired networks where immediate. Since Ad Hoc network rely on the battery terminals to support the work, and the battery power is very limited, it is difficult to increase the battery capacity in a short time.So in the low storage capacity of nodes, energy- saving networks, how to design effective energy conservation strategies to extend network lifetime has become important issue on the development of Ad Hoc network.The research achieve energy saving based on the Ad Hoc network routing protocol. First introduces several domestic and international current proposed routing protocols, respectively, the two algorithms features is apllied into routing process in network. Traditional routing algorithm for routing issues energy conservation in the results are poor, from the theory proposed genetic algorithm, ant colony algorithm and particle swarm optimization algorithm for the integration of the three hybrid intelligent optimization algorithm(PSO-GA-ACO). By running the algorithms in the network, we can reduce the consumption of energy throughout the network, so as to solve the problem of energy issue in Ad Hoc network routing.This paper take particle swarm optimization as optimization tools with the combination of ant colony algorithm and genetic algorithm integrate dynamic organic after optimization, then apply the genetic algorithm global search ability and fast ant colony algorithm positive feedback mechanism, genetic algorithm based on particle swarm fast global search, and initial solution into initial pheromone distribution, particle swarm-based ant colony algorithm for solving the parallel characteristics of positive feedback, and finally the hybrid algorithm is applied to optimize the routing in Ad Hoc network path transmission to achieve energy conservation. MATLAB simulation results show that the fusion algorithm is higher, in time, performance, throughput and power consumption issues, it is much better than a single genetic algorithm and ant colony algorithm in Ad Hoc network Routing.