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A static-node assisted adaptive routing protocol in vehicular networks

Ding, Yong, Wang, Chen, Xiao, Li·2007·Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks

Abstract

Vehicular networks have attracted great interest in the research community recently, and multi-hop routing becomes an important issue. To improve data delivery performance, we propose SADV, which utilizes some static nodes at road intersections in a completely mobile vehicular network to help relay data. With the assistance of static nodes at intersections, a packet can be stored in the node for a while and wait until there are vehicles within communication range along the best delivery path to further forward the packet, which reduces the overall data delivery delay. In addition, we let adjacent nodes measure the delay of forwarding data between each other in real time, so that the routing decision can adapt to changing vehicle densities. Our simulation results show that SADV outperforms other multi-hop data dissemination protocols, especially under median or low vehicle density where the network is frequently partitioned.

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Metadata

Authors
Ding, Y., Wang, C., & Xiao, L.
Venue
Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks
Publisher
ACM
Published
2007-09-10
Pages
59-68
OpenAlex
W2023262636
Cited by
202
References
0
FWCI
17.62
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A static-node assisted adaptive routing protocol in vehicular networks. https://app.cochat.ai/papers/10.1145/1287748.1287758
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Ding, Y., Wang, C., & Xiao, L. (2007). A static-node assisted adaptive routing protocol in vehicular networks. Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks. https://doi.org/10.1145/1287748.1287758

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.