Refined Cluster Based Mobility Prediction with Weighted Algorithm
N K Saini, A Trivedi · 2010
Mobile Ad hoc networks (MANETs) are self organizing and self-configuring multi-hop wireless networks. They are able to re-configure themselves when they are affected by node mobility. In the field communication nodes are very sensitive to node mobility and it can be interrupted if the topology changes. If the mobility prediction is used to predict the future position of a node, the resources reservation can be made before the topology changes. In this paper, we proposed the use of a clustering based approach to predict the future position of mobile node in a neighboring cluster. We use a weighted algorithm to find Cluster head and gateways. In addition, we use the hello messages which are responsible for checking the routes so that route compatibility can be obtained. Mobility prediction affects the two aspects like application -oriented and service oriented in adhoc networks. Simulation experiments are conducted to measure the cluster head and gateways by using algorithm. Result shows that hello messages are adequate to predict the route for future location of high mobile nodes.