Abstract | ||
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An increasing number of intelligent transportation applications require robust and reliable wireless communication. To achieve the required quality of service it is necessary to implement redundancy in the critical path which includes the radio software and hardware. In a real-world application there are many things that can cause the communication between two vehicles to degrade or stop completely. This paper describes a novel technique for detecting degradation or failure of communication links by comparing the performance of the radios to a probabilistic model built using data collected in the field. The results show that this techinique can successfully detect when there is partial or complete failure to communicate due to damage to the external components such as antennas, connectors and cables. |
Year | DOI | Venue |
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2014 | 10.1109/IVS.2013.6629485 | IEEE Intell. Transport. Syst. Mag. |
Keywords | Field | DocType |
fault detection,vehicular ad hoc wireless networks,road safety,intelligent transportation,software modules,quality of service,transportation,telecommunication network reliability,mobile ad hoc network,antenna probability,automation applications communication,reliable wireless communication,vehicular ad hoc networks,hardware modules,fault diagnosis,critical path,antennas,radiowave propagation,radio communication,communication links,antenna performance,probability,vehicle safety,probabilistic model,failure analysis,ad hoc networks,robust control,wireless communication,performance,wireless sensor networks | Mobile ad hoc network,Wireless network,Wireless,Fault detection and isolation,Computer network,Automation,Wireless ad hoc network,Engineering,Intelligent transportation system,Wireless sensor network | Journal |
Volume | Issue | ISSN |
6 | 2 | 1931-0587 |
ISBN | Citations | PageRank |
978-1-4673-2754-1 | 3 | 0.40 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stewart Worrall | 1 | 157 | 23.78 |
Gabriel Agamennoni | 2 | 194 | 16.42 |
James R. Ward | 3 | 18 | 4.76 |
Eduardo Mario Nebot | 4 | 1255 | 224.24 |