A Link Cost Prediction Method Based on Node Energy Computation for Dynamic Route Switching in MANET

Abstract

The creation of an ad hoc network suffers from technical barriers due to its limited energy source, unpredictable wireless connectivity, and dynamic network topology, which is a challenging concern in predicting link quality among the nodes. Therefore, it is essential to predict link trade-offs between the nodes in such a dynamic network and also preserve the energy resource to have a better link and longer life of the network. This paper presents an efficient link cost prediction method (LCPM) for dynamic route switching based on the node energy source. The LCP method determines the stable and minimum link cost route to minimize the packet loss which might cause due to node mobility and link failure in reactive routing protocols. It initially suggests a mechanism to predict the least energy utilization route between source and destination to reduce the routing overhead. Later, it defines the methodology of establishing the least link cost route using LCP to achieve better throughput and low packet loss. The experiment evaluation results through varying nodes scalability show the effectiveness of the proposal. It shows the improvisation of LCPM through achieving an average of 3.35% better PDR, 2.93% of lower routing overhead and 8.105J lower energy consumption. It also achieves an average of 90ms with 20 nodes and 50ms with 100 nodes lower E-2-E delay in compare to the existing methods.