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An Improved Vehicular Ad Hoc Routing Protocol for City Environments

Jerbi, M., Senouci, S.-M., Meraihi, R., Ghamri-Doudane, Y.·2007·2007 IEEE International Conference on Communications

Abstract

The fundamental component for the success of VANET (vehicular ad hoc networks) applications is routing since it must efficiently handle rapid topology changes and a fragmented network. Current MANET (mobile ad hoc networks) routing protocols fail to fully address these specific needs especially in a city environments (nodes distribution, constrained but high mobility patterns, signal transmissions blocked by obstacles, etc.). In our current work, we propose an inter-vehicle ad-hoc routing protocol called GyTAR (improved greedy traffic aware routing protocol) suitable for city environments. GyTAR consists of two modules: (i) dynamic selection of the junctions through which a packet must pass to reach its destination, and (ii) an improved greedy strategy used to forward packets between two junctions. In this paper, we give detailed description of our approach and present its added value compared to other existing vehicular routing protocols. Simulation results show significant performance improvement in terms of packet delivery ratio, end-to-end delay, and routing overhead.

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Metadata

Authors
Jerbi, M., Senouci, S.-M., Meraihi, R., & Ghamri-Doudane, Y.
Venue
2007 IEEE International Conference on Communications
Publisher
IEEE
Published
2007-06
Pages
3972-3979
ISSN
1550-3607 (ISSN-L)
OpenAlex
W2154475714
Cited by
260
References
0
FWCI
15.60
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Improved Vehicular Ad Hoc Routing Protocol for City Environments. https://app.cochat.ai/papers/10.1109/icc.2007.654
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Jerbi, M., Senouci, S.-M., Meraihi, R., & Ghamri-Doudane, Y. (2007). An Improved Vehicular Ad Hoc Routing Protocol for City Environments. 2007 IEEE International Conference on Communications. https://doi.org/10.1109/icc.2007.654

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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.