Publication Date:
2014-08-21
Description:
Many geographic routing algorithms have been proposed for vehicular ad hoc networks (VANETs),which have the strength of not maintaining any routing structures. However, most of which relyon the availability of accurate real-time location information. It is well known that vehicles canbe intermittently connected with other vehicles. Thus, in such networks, it is difficult or mayincur considerable cost to retrieve accurate locations of moving vehicles. Furthermore, the locationinformation of a moving vehicle available to other vehicles is usually time-lagged since it is constantlymoving over time. Fortunately, we observe that the short-term future locations of vehicles can bepredicted. Based on the important observation, we propose a novel approach for geographic routingwhich exploits the predictive locations of vehicles. Thus, we have developed a prediction techniquebased on the current speed and heading direction of a vehicle. As a result, the request frequencyof location updates can be reduced. In addition, we propose two forwarding strategies and threebuffer management strategies. We have performed extensive simulations based on real vehicular GPStraces collected from around 4,000 taxis in Shanghai, China. Simulation results clearly show thatgeographic routing based on predictive locations is viable and can significantly reduce the cost oflocation updates.
Print ISSN:
1687-1472
Electronic ISSN:
1687-1499
Topics:
Electrical Engineering, Measurement and Control Technology
,
Computer Science
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