An efficient fault detection and diagnosis protocolfor vehicular networks

Authors:
Noura Aljeri;Mohammed Almulla;Azzedine Boukerche
Affiliations:
Kuwait University, Kuwait, Kuwait;Kuwait University, Kuwait, Kuwait;University of Ottawa, Ottawa, Canada
Venue:
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Year:
2013

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Abstract

Over the recent years, with the rapid growth of wireless communication technology, vehicular networks have gained a great deal of attention by the research community. In VANETs, vehicles can communicate with each other or with roadside units that allow access to back-end systems; this can provide drivers with useful information and enable them access to different Intelligent Transportation Systems (ITS) applications. For most these applications, the main goal is to guarantee safety on the road and passenger comfort. Road components are vulnerable to faults such as defected devices or failure in controllers. Therefore, an efficient fault detection and diagnostic model is most needed to mitigate communication problems among VANET components. In this paper, we propose a fault detection and diagnosis protocol for vehicular networks using the comparison based diagnosis approach. We present the protocol and report on its performance evaluation using an extensive set of simulation experiments.