Movement Adaptive Geographic Routing for Vehicular Ad Hoc Networks

Vehicular Ad Hoc Network (VANET) has recently attracted considerable attentions. The design of routing protocol for VANET is a challenge due to rapid topology changes and frequent network disconnection. Current routing protocols usually use geographic information to forward packets. In this paper, we propose a movement adaptive routing scheme called MAGR for inter-vehicle communication in urban scenarios. The key difference between MAGR and other geographic protocols is the process of real-time vehicle traffic estimation and movement adaptive selection of optimal route. Firstly, the position data that our location service provides is analyzed and aggregated to estimate vehicle density of roads. Secondly, MAGR considers the movements of nodes (vehicles) and takes advantage of the predictable mobility pattern of vehicles. MAGR utilizes traffic information and movement predication to create adaptive connectivity model which improves the routing process by selecting the most stable route. Simulations in city environment are conducted to compare the proposed protocol with GSR and GyTAR. The results show that MAGR perform best in terms of data delivery ratio and average delay.