Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Delay-bounded routing in vehicular ad-hoc networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
A survey of urban vehicular sensing platforms
Computer Networks: The International Journal of Computer and Telecommunications Networking
An intervehicular communication architecture for safety and entertainment
IEEE Transactions on Intelligent Transportation Systems
Entertainment beyond divertissment: using computer games for city road accessibility
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Information dissemination in self-organizing intervehicle networks
IEEE Transactions on Intelligent Transportation Systems
Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety
IEEE Communications Magazine
Wireless Communications & Mobile Computing
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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Vehicular sensor networks are an emerging network paradigm, suitable for various applications in vehicular environment making use of vehicles' sensors as data sources and Inter-Vehicle Communication systems for the transmissions. We present a solution, based on vehicular sensor networks, for gathering data from a certain geographic area while satisfying with a specific delay bound. The method leverages the time interval during which the query is active in order to make the gathering process efficient, properly alternating data muling and multi-hop forwarding strategies like in delay-bounded routing protocols. Simulations show that our proposed solution succeeds in performing efficient data gathering outperforming other solutions.