Traffic Adaptive Geographic Routing for Vehicular Ad Hoc Networks
Xiang-yu Bai, Xin-ming Ye, Yan-jun Huang, Jun Li
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.135How to use a DOI?
- Vehicular Ad Hoc Network; Routing; Grographic; Traffic Adaptive
- Vehicular Ad Hoc Network (VANET) has recently attracted considerable attention. The design of routing protocol for VANET is a challenge given rapid topology changes and frequent network disconnection. Current routing protocols usually use geographic information to forward packets. In this paper, we propose a traffic adaptive routing scheme called TAGR for inter-vehicle communication in urban scenarios. The key differences between TAGR and other geographic protocols are the process of real-time vehicle traffic estimation and Traffic adaptive selection of optimal route. Firstly, the position data that our location service provides is analyzed and aggregated to estimate vehicle densities of roads. Secondly, TAGR considers the movements of nodes (vehicles) and takes advantage of the predictable mobility pattern of vehicles. TAGR utilizes traffic information and movement predication to create adaptive connectivity model which improves the routing process by selecting the most stable route. Simulations in realistic city environments are conducted to compare the proposed protocol with GSR and GyTAR protocols. The results show that TAGR outperforms the others in terms of data delivery ratio and average delay
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiang-yu Bai AU - Xin-ming Ye AU - Yan-jun Huang AU - Jun Li PY - 2012/11 DA - 2012/11 TI - Traffic Adaptive Geographic Routing for Vehicular Ad Hoc Networks BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 527 EP - 531 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.135 DO - https://doi.org/10.2991/citcs.2012.135 ID - Bai2012/11 ER -