The Path Length Prediction of MANET Using Moving Average Model

AbstractWireless networks are organized as a network with mobile nodes that act as hosts and routers to broadcast packets. The frequent changes of network topology, the path length between source and destination nodes also varies for changing of time. The path length happens to be a very important parameters for QOS routing. Predicting the path length from a source to a destination in ad hoc networks may help in several network functioning. The path length between a source destination pair depends on the mobility patterns as well as routing algorithms. In this article, We have considered the path length from a source node to destination node as a random variable and tried to predict them using the concepts of Moving average model of order q i.e. MA(q) of time series analysis. We also calculated the average path length and the performance of each mobility models with the routing algorithms