An Optimized Energy Efficient Scheme And Mobility Prediction Based Routing Assignment For Cognitive Mobile Ad Hoc Networks

Abstract

newline ABSTRACT newlineIn recent days, MANET (Mobile Ad hoc Network) became an essential part of newlineour day to day life application especially in Mobile Communication, Official newlineNetworking, Remote sensing system, and Navigation system, and so on. In this era, newlineinfrastructure less, untrustworthy centralized server, unsecure routing protocols, newlinehidden transmission and weakening channels affects data transmission. To avoid the newlinevast energy, battery consumption, heavy traffic scheduling, and power control, none newlineof the process gives efficient solution, since all the existing approaches do not fully newlinemeet these challenges in data transmission. To overcome this existing drawback, this newlineresearch work gives ultimate solution based on infrastructure-less, efficient routing newlineprotocol, hidden data transmission with the help of Mobility Prediction Based newlineRouting Assignment . In this research work, demonstrate the efficiency of the newlinenetwork by offering time limit to each and every node with an interaction history newlinebased. Also optimization is done by making use of the local information available at newlinethe node about the control messages. The optimized system is found at dynamic node newlineaddress allocation to each node with increased packet delivery ratio and it is finalized newlineas a base protocol for developing the proposed network coding algorithms. newlineFinally, this research work contributes to make the most effective use of newlineresources in a system at MANET network, which achieves maximum efficiency in newlineterms of data transmission, with minimum wasted battery power in terms of energy newlineconsumption. This efficient system works on the large-scale arrangement for mobile newlinenetworks. In addition, this Mobility Prediction Based Routing Assignment also newlinepredicts a forecast result to the past interaction history and the action of predicting newlinevalues regularly. Resultant process of acquiring senses of each node will produce the newlinecognitive result to the MANETs.