Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
A scalable location service for geographic ad hoc routing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Mobility prediction and routing in ad hoc wireless networks
International Journal of Network Management
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Predictive Directional Greedy Routing in Vehicular Ad hoc Networks
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
Challenges of intervehicle ad hoc networks
IEEE Transactions on Intelligent Transportation Systems
A survey on position-based routing in mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
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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.