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In vehicle ad hoc networks, the link duration is an impor- tant concept for clustering and dissemination. Many link metrics are proposed to predict it based on the vehicles’ ve- locities and distance between vehicles. However, there is a lack of comparison of these metrics under the same frame- work. In this paper, we compare several common adopted link metrics, LLT (link life time), SLS (spatial locality sim- ilarity), and SF (similarity function), in the performance of link duration prediction, according to a real vehicular mo- bility trace of the city of Cologne, Germany. We find that there exists a large gap in between the predicted link du- ration order and real link duration order for the real traffic trace, and there is no winning link metric in all scenarios. Furthermore, as an example, we show that, by combining existing link metrics intelligently, it is possible to create a new link metric that predicts link duration better.
