Routing and Address Assignment Using Lane/Position Information in a Vehicular Ad Hoc Network
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
SARC: A Street-Based Anonymous Vehicular Ad Hoc Routing Protocol for City Environment
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 02
Enhancing AODV routing protocol using mobility parameters in VANET
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
Processing Area Queries in Wireless Sensor Networks
MSN '09 Proceedings of the 2009 Fifth International Conference on Mobile Ad-hoc and Sensor Networks
A probabilistic routing protocol in VANET
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Maximizing the contact opportunity for vehicular internet access
INFOCOM'10 Proceedings of the 29th conference on Information communications
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
Reliable Routing in Vehicular Ad Hoc Networks
ICDCSW '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems Workshops
Flooding-resilient broadcast authentication for VANETs
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Data caching-based query processing in multi-sink wireless sensor networks
International Journal of Sensor Networks
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Traffic information query in Vehicular Ad Hoc Network has various significant applications. Real-time traffic information can provide support for users to choose an optimal route according to current traffic situation. In this paper, we propose an urban area-oriented traffic information query processing mechanism, which can acquire the realtime traffic information of multiple paths from source to destination in relatively fast and accurate manner, and help users to determine an optimal route. The proposed mechanism includes two key algorithms - query dissemination and processing, and routing results backward to query requester. The query processing algorithm determines the scope of each query, so that a vehicle can query and collect data within a certain efficient scope to avoid returning overwhelmed large amount results. For queried vehicles, returning results to the moving query requester is a dynamic routing problem. We proposed a position predicting method to estimate the current location of the requester according to the information stored in the query packet. Simulation results show that the proposed strategy can improve the efficiency of data transmission, and the returned query results is effective for choosing an optimal route.