PSO based route lifetime prediction algorithm for maximizing network lifetime in MANET

In MANET, this exhaustion of energy will be more due to its infrastructureless nature and mobility. Due to this, the topology get varied. This may drastically affect the performance of routing protocol and also affect the network lifetime. Several researches have gone so far for predicting node lifetime and link lifetime. To address this problem a new algorithm has been developed which utilizes the network parameters relating to dynamic nature of nodes viz. energy drain rate, relative mobility estimation to predict the node lifetime and link lifetime. Then implement this algorithm in the DYMO protocol environment. This will maximize the network lifetime and scalability. Further improve the performance, we have implemented a new algorithm by integrating route lifetime prediction algorithm along with the particle swarm optimization (PSO) algorithm. Since PSO uses for network centric localization purpose, this approach generates in-network navigational decisions by obviating centralized control thereby reducing both the congestion and delay.