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Proceedings of the Fourth ACM International Workshop on Vehicular Ad Hoc Networks 2007
DOI: 10.1145/1287748.1287766
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Highly dynamic and scalable VANET routing for avoiding traffic congestions

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Cited by 18 publications
(9 citation statements)
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“…More complicated models like neural networks [11] can also be used. BeeJamA [12] (IB-TM-N) is derived from the honey bee behavior to avoid traffic congestion. A density-speed model is used to rate the congestion.…”
Section: Related Workmentioning
confidence: 99%
“…More complicated models like neural networks [11] can also be used. BeeJamA [12] (IB-TM-N) is derived from the honey bee behavior to avoid traffic congestion. A density-speed model is used to rate the congestion.…”
Section: Related Workmentioning
confidence: 99%
“…These mobility features may be used to predict the lifetime/duration of routing paths. PBR [13], DisjLi [12], Taleb [14], Abedi [11], Wedde [15] and NiuDe [16] utilize the mobility parameters to route messages.…”
Section: A Taxonomy Of Vanet Routingmentioning
confidence: 99%
“…Moreover, position is the second important parameter that is used for next hop selection. Wedde et al [15] presented a routing algorithm (marked as Wedde) based on a rating value. The rating value is computed to evaluate the road conditions (actual traffic situation), based on the interdependencies of average vehicle speed, traffic density and the traffic quality (in terms of congestion).…”
Section: B State Of the Artmentioning
confidence: 99%
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“…Hence, because of the expected potential impact of VANETs, several researchers have developed unicast routing protocols that are suitable for VANETs. The effect of traffic patterns and congestion on VANETs are studied in [25,55,67,68]. Security issues in VANETs are discussed in [13,22,24,27,56].…”
Section: What Is a Vanet?mentioning
confidence: 99%