Vehicle-to-vehicle safety messaging in DSRC
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Empirical determination of channel characteristics for DSRC vehicle-to-vehicle communication
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Smart Cars on Smart Roads: An IEEE Intelligent Transportation Systems Society Update
IEEE Pervasive Computing
Catch-up: a data aggregation scheme for vanets
Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
Extending drive-thru data access by vehicle-to-vehicle relay
Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
Piggyback cooperative repetition for reliable broadcasting of safety messages in VANETs
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network
IEEE Wireless Communications
An efficient and robust clustered data gathering protocol (CDGP) for vehicular networks
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Compressive data retrieval with tunable accuracy in vehicular sensor networks
WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
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With the adoption of sensing technology, vehicles are able to gather information about driver's environment, like speed, temperature, moisture and road condition, etc. The state-of-the-art wireless technologies also provide vehicles with the ability of communicating to their neighboring vehicles on the road, as well as the static frameworks on the road side. Vehicular Sensor Network (VSN) is an emerging paradigm in vehicular networks. In this paper, we propose a new VSN scenario, Road Probing. The Road Side Unit (RSU) initiates the probing process and selects the passing by vehicles as probes to collect traffic and environment information. The selected vehicles sense the desired data and forward it back to the RSU in a multi-hop fashion. A dynamically growing one-dimension probing chain originated from the RSU is formed by participated vehicles as the probing process going on. A mobility profile based probe selection method is developed to improve this chain's connectivity as it's the key issue to assure the quality of data collection. The performance of Road Probing is demonstrated by simulation experiments.