Abstract

In MANETs, this exhaustion of energy will be more due to its infrastructure less nature and mobility. This may lead a node to drain their energy and also affect the performance of routing protocol and 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 route lifetime. But this has given a problem of network congestion and delay. To mitigate this problem, in this paper we have implemented an algorithm which uses the prediction parameters that are fuzzified and fuzzy rules have been formed to decide on the node status. This status information is made to exchange among all the nodes. Before every transmission the status of each and every node is verified. Even for a weak node, the performance of a route recovery mechanism is made in such a way that corresponding routes are diverted to the strong nodes. Thereby it reduces the data loss and communication overhead using PSO prediction algorithm and here NS2 simulator is used for simulation.

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