Efficient and Opportunistic Routing in MANET using Link Lifetime Prediction

Abstract

For improving the transmission of data between the cross layers, we propose an efficient Opportunistic routing in Mobile Adhoc Network (MANET) using Cross Layer Reliable Opportunistic Routing (CBRT) Algorithm and Link Lifetime prediction, in which the fuzzy logic topologies are used. We use the fuzzy logics to regenerate the dead nodes using, if-then rule. Using this, we will reactivate the dead nodes for transmission. For the increased reliability and reduced cost of control, we propose a method of finding degree of node sensing, which senses the degree of the node which helps in sensing the shortest path of the highest lifetime node. Additionally, we propose the link lifetime prediction algorithm which finds the lifetime of the node so that the shortest path can be maintained with the source node and the highest lifetime node. Processing this method will reduce the data loss and balance the efficiency of transmission. Link lifetime prediction algorithm also takes the moving speed and moving direction. Then finally LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is added which consumes less energy during the transmission.