Fuzzy Logic based Improved Lion Optimization Algorithm Centered Routing Protocol for Mobile Adhoc Network

In the traditional mobile ad hoc network (MANET) systems route rediscovery approaches; there exists route failure in all route discovery methods resulting in information loss and communication overheads. Thus, the routing must be completed inaccordance with mobility persona of the community. On this manuscript, an Improved Lion optimization algorithm (ILOA)-centered lifetime prediction algorithm for route healing in MANET has been proposed. This manner predicts the lifetime of link and node within the to be had bandwidth headquartered on the parameters like relative mobility of nodes and power drainfee, and so on. Utilizing predictions, the parameters are fuzzified and fuzzy ideas were shaped to select the nodefame. This expertise is made to alternate among the entire nodes. Accordingly, the repute of every node is verified earlier than knowledge transmission. Even for a weak node, the efficiency of a route recuperation mechanism is made in this type of means that corresponding routes are diverted to the robust nodes. With the aid of the simulated results, the minimization of information loss and communication overhead making use of ILOA prediction has been mentioned in element.