Forecast technique for identifying geographical location of nodes in MANETs

Today mobile ad-hoc network is become more popular and demanding in various applications such as emergency search operation, batter field areas etc. The reason is its economic configuration cost and infrastructure less characteristics. Additionally mobile ad-hoc network also has dynamic topology in which devices move frequently. Due to dynamic connectivity of nodes, routing operation require more attention. The node connectivity is considered as key elements because in absence of that the transmission is influenced. Thus the location and mobility information have to be continuously tracking. To identify the direction and speed of movable nodes various relative position based approaches is suggested. Identification of accurate location of mobile nodes is a quite heavy task in terms of computation with real time results. In this paper forecasting technique is proposed for identifying geographical location of nodes using different network parameters. At the initial level the approach is proving its efficiency in near optimal calculations and relative position detections.