On Performance Enhancement of MANET using Multi Criteria Genetic Algorithm (M.C.G.A)

摘要

Objectives: The objective is to design and develop a routing protocol that can be implementedon MANET to improve the performance and increase the throughput of network.Method: Minimizing the energy utilization of network hub is a standout amongst the most essential issuesfor routing in remote sensor organizes in perspective of the battery diminution in each sensor. As a resultof the dynamic method for the Mobile Ad-hoc Network (MANET), routing in MANET gets theopportunity to test especially when on request multi-path routing traditions addresses certain issues, forinstance, message overheads, link failures and hub's high versatility and certain QoS necessities (like highdata parcel conveyance proportion, low end to end delay, low coordinating overhead, and low energyconsumption)are to be satisfied. In spite of the fact that Energy utilization is the most difficult issue inrouting protocol outline and various routing protocols have been proposed meaning to settle this issue.Findings:In this paper, we propose an upgraded rendition of multi-path routing project for mobile ad-hocnetwork, in view of the Ant Colony Optimization (ACO) a meta heuristic calculation, in which antsapproach from source to destination by means of number of paths and considering pheromone,energy,mobility and distance –driven parameters. These methodologies attempt to delineate solution ability ofswarms to scientific and designing issues. The presented routing protocol is highly versatile, productiveand adaptable. The proposed technique depicts better results of residual energy, throughput, pheromonevalue and average delay.