Performance Evaluation of Link Metrics in Vehicle Networks: a Study from the Cologne Case
Résumé
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.