2010 IEEE International Conference on Communications 2010
DOI: 10.1109/icc.2010.5502661
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Data Dissemination in Cooperative ITS from an Information-Centric Perspective

Abstract: The success of cooperative Intelligent Transportation Systems (ITS) applications such as collision avoidance or adaptive cruise control stands or falls with the exchange of information between distributed and usually moving nodes. The extensive transmission of information contrasts with a limited channel bandwidth which has to be shared between all nodes. Thus, a tradeoff is required which cooperatively selects pieces of information for dissemination according to their worth for the receivers under considerati… Show more

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Cited by 13 publications
(8 citation statements)
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“…However, this study does not specify how to find or maintain information. (Rockl and Robertson, 2010) argue that the success of cooperative ITS applications is mainly affected by the exchange of information between distributed nodes. According to authors, the transmission of large amount of information contrasts to the limited bandwidth of the channels that tend to be shared by all nodes participating in the ITS.…”
Section: Related Workmentioning
confidence: 99%
“…However, this study does not specify how to find or maintain information. (Rockl and Robertson, 2010) argue that the success of cooperative ITS applications is mainly affected by the exchange of information between distributed nodes. According to authors, the transmission of large amount of information contrasts to the limited bandwidth of the channels that tend to be shared by all nodes participating in the ITS.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the hybrid approach is particularly suitable for comforting applications that use network infrastructures for advertisement dissemination. A prioritized handling of events can be achieved, for instance, by a priority queue as it has been applied in [12]. The authors set different priorities for different events, and then the emergency events have the highest priority than other events.…”
Section: Related Workmentioning
confidence: 99%
“…IV-A) has been implemented within a sequential Monte Carlo estimator (SMC) which is also known as particle filter (more details can be found in [16], [11]). The detailed parameter specifications for the filter configuration can be found in Röckl et al [17].…”
Section: A Probability-based Utility Functionsmentioning
confidence: 99%