Mobility Prediction Based Routing in Mobile Adhoc Network Using Hidden Markov Model
Dynamic network topology of Mobile Ad-hoc NETworks (MANETs) which is a consequence of node mobility, make routing a denoting challenge and routes are subject to recurrent disconnections. In such a context, it is important to limit interruptions caused by the node mobility. This paper presents exploiting the concept of routing through predicting the mobility of nodes and therefore reducing the overhead by eliminating transmissions of control packets which are required otherwise for route reconstruction. Also, former awareness of patterns of mobile nodes can be used to suitably allocate resources and upgrade the Quality of Service (QOS) experienced by mobile devices. This paper proposes Hidden Markov Model (HMM) approach for predicting the mobility of nodes to reduce the overhead head of routing for route discovery.