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Adaptative movement aware routing for vehicular ad hoc networks

Data routing through vehicular ad hoc networks (VANET) remains a challenging task due to the high mobility of nodes which causes rapid topology changes and frequent disconnections. To address this issue, we exploit additional information about vehicle's movement in order to adapt traditional position-based approach for such a dynamic environment. Assuming that a vehicle is aware of its own movement as well as those of its direct neighbors, the proposed solution called Movement Aware Greedy Forwarding (MAGF) defines a new strategy to select next hop towards the destination. Based on a computed metric which is a combination of position, velocity and direction information, MAGF improves forwarding decisions with an optimal next hop selection.
 Simulations results show significant performance improvement and proved the efficiency of the proposed solution compared to GPSR in terms of data delivery.