2011
DOI: 10.1155/2011/342380
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Event Sharing in Vehicular Networks using Geographic Vectors and Maps

Abstract: By exchanging events in a vehicular ad hoc network (VANET), drivers can receive information that allows them to find relevant places (e.g., parking spaces) or avoid dangerous/undesirable situations (e.g., an accident or a traffic jam). However, developing this kind of information services for drivers calls for new data management approaches, such as an appropriate dissemination protocol and some mechanism to decide when a driver should be alerted.

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Cited by 27 publications
(30 citation statements)
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References 38 publications
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“…Our proposed research may also be applied to various domain applications, such as mobile systems 28,29,30,31,32,33,34 , RFID 35,36 , real-time systems 37 , business process 38 , web systems 39,40,41 , and fuzzy data 42 .…”
Section: Resultsmentioning
confidence: 99%
“…Our proposed research may also be applied to various domain applications, such as mobile systems 28,29,30,31,32,33,34 , RFID 35,36 , real-time systems 37 , business process 38 , web systems 39,40,41 , and fuzzy data 42 .…”
Section: Resultsmentioning
confidence: 99%
“…Hazard Detection Control (HDC) component is responsible for organizing the functions' results from the Hazard Detection (HD) component. If it receives a positive response from any function indicating that there is impending danger, then a warning message is issued [28]. Each result received from the HD is matched with a particular sentence and specific warning sound.…”
Section: Hazard Detection and Hazard Detection Controlmentioning
confidence: 99%
“…It is also important to determine whether an event (e.g., a traffic congestion) or a resource (e.g., an available parking space) is relevant to a vehicle. Authors [6] in propose a general data management architecture for vehicular networks that allows to select, among the events received, the events that are relevant to the vehicle and so may be also relevant to the driver using geographic vectors and maps.…”
Section: Data Dissemination In Vanetsmentioning
confidence: 99%