2007 IEEE International Conference on Communications 2007
DOI: 10.1109/icc.2007.654
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An Improved Vehicular Ad Hoc Routing Protocol for City Environments

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Cited by 217 publications
(154 citation statements)
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“…GyTAR -Greedy Traffic Aware Routing protocol (GyTAR) [18] is an overlaid approach similar to the approaches mentioned above in that packets are forwarded greedily toward the next junction which will then determine the best junction to forward next. GyTAR assumes that the number of cars is given per each road from roadside units and determines the connectivity of roads.…”
Section: Street Topology-based Routing(stbr)mentioning
confidence: 99%
“…GyTAR -Greedy Traffic Aware Routing protocol (GyTAR) [18] is an overlaid approach similar to the approaches mentioned above in that packets are forwarded greedily toward the next junction which will then determine the best junction to forward next. GyTAR assumes that the number of cars is given per each road from roadside units and determines the connectivity of roads.…”
Section: Street Topology-based Routing(stbr)mentioning
confidence: 99%
“…It adopts a new intersection based geographical routing protocol capable of finding robust routes in city environment with multi lanes [15].…”
Section: Non-delay Tolerant Network (Non-dtn)mentioning
confidence: 99%
“…Greedy Traffic Aware Routing protocol [15] gives a new concept of intersection-based routing protocol. Greedy Traffic Aware Routing protocol goals is to achieve efficient use of network bandwidth and aims at achieving reduced end-to-end delay and packet loss.…”
Section: Greedy Traffic Aware Routing Protocol (Gytar)mentioning
confidence: 99%
“…However, more sophisticated approaches have been proposed by the research community, mainly differing in the weights that are assigned to each edge or, more formally, the metric space used to calculate the shortest path between source and destination. For example, the GyTAR proposal [12] also takes into account dynamic properties, such as the vehicular traffic density, in order to select route paths that increase the probability for an end-to-end multi-hop connectivity.…”
Section: Geo-routing For Vehicular Networkmentioning
confidence: 99%