An efficient neighborhood prediction protocol to estimate link availability in VANETs

Authors:
Cristiano Gato Rezende;Richard W. Pazzi;Azzedine Boukerche
Affiliations:
University of Ottawa, Ottawa, ON, Canada;University of Ottawa, Ottawa, ON, Canada;University of Ottawa, Ottawa, ON, Canada
Venue:
Proceedings of the 7th ACM international symposium on Mobility management and wireless access
Year:
2009

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Abstract

Vehicular Ad Hoc Networks (VANETs) are a new trend that offers many opportunities to the development of a wide range of interesting services. These services range from providing entertaining applications, such as videoconferencing, to enhancing safety conditions through automatic breaking or improving emergency response. VANETs are highly unstable environments due to their dynamic topology and the lack of previous deployed infrastructure. Topology dynamism is related to the usually short range of communication of such networks and to the high mobility of vehicles. This mobility characteristic of vehicles diminishes the suitability of solutions developed for general Mobile Ad Hoc Networks (MANETs) to VANETs. In this paper, we have designed and evaluated the Neighborhood Prediction Protocol (NPP). In essence, NPP tries to anticipate the availability of future links between vehicles through a mobility prediction model. Therefore, topology changes can be detected earlier and handled properly before it depreciate network performance. We show through extensive simulations that neighborhood prediction is feasible and does not incur into excessive overhead. NPP can be used for example for resource reservation, routing continuity or to improve handoff procedures.