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Jointly optimizing data acquisition and delivery in traffic monitoring VANETs
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
SESSION: Wireless sensor networks track table of contents
Pages 2186-2190  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Antonios Skordylis  Oxford University Computing Laboratory, Oxford, United Kingdom
Niki Trigoni  Oxford University Computing Laboratory, Oxford, United Kingdom
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Vehicular ad hoc networks (VANETs) are envisaged to become a flexible platform for monitoring road traffic, which will gradually replace more cumbersome fixed sensor deployments. The efficacy of vehicle-assisted traffic monitoring systems depends on the freshness of traffic data that they can deliver to users, and the bandwidth used to do so. Clearly, high data freshness will allow users to estimate trip times accurately, and to select the fastest route to a destination. Low bandwidth utilization will allow the traffic monitoring application to coexist symbiotically with a wide variety of vehicle-based applications, ranging from road safety to advertising and entertainment.

In this paper, we investigate the problem of minimizing the bandwidth utilization of a vehicle-assisted traffic monitoring system, whilst adhering to user-defined requirements for data freshness. The novelty of our approach is that we jointly optimize two intertwined aspects of traffic monitoring: data acquisition and data forwarding. We investigate how their combined operation trades data freshness for bandwidth utilization, and we propose a novel mechanism that fine-tunes their parameters to optimize the overall system performance. Our mechanism is evaluated using realistic vehicular traces on a real city map.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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J. Zhao and G. Cao. Vadd: Vehicle-assisted data delivery in vehicular ad hoc networks. In Conf. on Computer Communications (INFOCOM), 2006.

Collaborative Colleagues:
Antonios Skordylis: colleagues
Niki Trigoni: colleagues