2010 IEEE Intelligent Vehicles Symposium 2010
DOI: 10.1109/ivs.2010.5548092
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A spatial QoS requirements specification for V2V applications

Abstract: Abstract-Vehicle-to-vehicle wireless communication is a key component of tomorrow's cooperative safety applications. However, the wireless link is susceptible to effects such as shadowing which can cause communication failures. Such failures may in turn lead to hazardous traffic situations when safety applications cease to function. By monitoring communication QoS and adapting to changes, effects of link failure may be mitigated, however this requires a specification of the application QoS requirements. In thi… Show more

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Cited by 8 publications
(4 citation statements)
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“…Data transmission quality impacts application performance. Many issues in DSRC applications stem from low redundancy and non-receipt-acknowledgement of messages [141]. These applications require improved Quality of Service (QoS) to ensure that data arrive to a recipient rapidly and without corruption [142].…”
Section: A Connectivity Considerationsmentioning
confidence: 99%
“…Data transmission quality impacts application performance. Many issues in DSRC applications stem from low redundancy and non-receipt-acknowledgement of messages [141]. These applications require improved Quality of Service (QoS) to ensure that data arrive to a recipient rapidly and without corruption [142].…”
Section: A Connectivity Considerationsmentioning
confidence: 99%
“…Although there are a variety of scenarios, one simulation can be used for small‐city checking. Lidström and Larsson 52 developed a system that uses message broadcasting and presents a dynamic map of the surroundings and communication between vehicles and RSU. Systems need to improve performance and decrease complexity and accidents; particularly, environmental status and some features like road geometry are imperative.…”
Section: Iov Applications and Servicesmentioning
confidence: 99%
“…However, along with the movement of nodes, a new optimal path may appear between the source and target nodes, but during the routing repair process, the protocol will not re-compute the optimal path, but instead regard the first-time computed path as always the optimal path from the source to target nodes. Multi-Hop Routing protocol for Urban VANET (MURU) [8] uses the routing survival time as an index, selects the most stable channel as the routing, thereby ensuring the QoS performance indices of Vanet, such as delay and packet loss rate. The relative velocity and direction of the nodes are used to estimate the possibility of routing rupture within a given period, and the MURU protocol aims to find the routing with the lowest cumulative possibility.…”
Section: Qos Routingmentioning
confidence: 99%