Multicast Optimal Energy Aware Routing Protocol for Manet Based on Swarm Intelligent Techniques

In the past decade optimal multicast energy conservation routing is very big issue. In this paper finding optimal paths in mobile ad hoc networks with minimal energy consumption. More specifically, a novel bi-level optimization model, which allows the reliability, namely beakless path between nodes. With lowest energy consumption to be taken into account simultaneously is presented. In order to evaluate the performance of the proposed model, a hybrid metric space and particle swarm optimization is devised. These hybrid approaches find optimal path and reduce the energy level. The PSO based on swarm intelligence, utilize the information of the best fitness value of the both local best and global best. The metric space analyze significantly reduced delay time to search both host and target nodes in dynamic infrastructure mobile adhoc network. Finally results are more determined, showing the correctness of the proposed model. Indeed, the selection of energy conservative a shorter route leads to a more stable route, but to greater energy consumption.