The Ninth International Conference on Mobile Data Management (Mdm 2008) 2008
DOI: 10.1109/mdm.2008.28
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Road Network Based Adaptive Query Evaluation in VANET

Abstract: In the Vehicle Ad-hoc NETwork(VANET), moving vehicles organize into a mobile wireless Ad-hoc network to share online traffic information. Each vehicle can issue a declarative query for aggregating the traffic information from others in order to facilitate the navigation and avoid traffic jam. Existing query methods suffer from high latency, incomplete results, and large messages due to the movement of the vehicles in VANET. In this paper, we propose an adaptive query evaluation method based on the road network… Show more

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Cited by 6 publications
(3 citation statements)
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References 12 publications
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“…Reference [6] proposed an adaptive query evaluation method for gathering the traffic information at the interested area. When a source node demanded the traffic information from an area of map, it sent a query message toward such area.…”
Section: Related Workmentioning
confidence: 99%
“…Reference [6] proposed an adaptive query evaluation method for gathering the traffic information at the interested area. When a source node demanded the traffic information from an area of map, it sent a query message toward such area.…”
Section: Related Workmentioning
confidence: 99%
“…The design and development of data dissemination mechanisms for VANETs, which aim at increasing the ratio of solved queries with the minimum network overhead, while maintaining acceptable levels of information quality, has been the target of research investigations in the recent literature [4,5]. Due to space limitation, in the following paragraphs we present the most indicative ones (a survey of recent work can be found in [6]).…”
Section: Related Workmentioning
confidence: 99%
“…Also, an adaptive query evaluation scheme based on the underlying road network was proposed in [5]. The proposed query scheme leverages the road-network connectivity graph to create an evaluation tree for traffic information queries.…”
Section: Related Workmentioning
confidence: 99%