Role-based multicast in highly mobile but sparsely connected ad hoc networks
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
Analyzing the Multiple-target-multiple-agent Scenario Using Optimal Assignment Algorithms
Journal of Intelligent and Robotic Systems
A Bidding Protocol for Deploying Mobile Sensors
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
Differentiated surveillance for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
MDDV: a mobility-centric data dissemination algorithm for vehicular networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Dynamic Coverage Maintenance Algorithms for Sensor Networks with Limited Mobility
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
A Distributed Active Sensor Selection Scheme for Wireless Sensor Networks
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Delay-bounded routing in vehicular ad-hoc networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Coverage-Aware sensor engagement in dense sensor networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Using real-time road traffic data to evaluate congestion
Dependable and Historic Computing
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Vehicular ad hoc networks (VANETs) are envisaged to become a flexible platform for monitoring road traffic, which will gradually replace more cumbersome fixed sensor deployments. The efficacy of vehicle-assisted traffic monitoring systems depends on the freshness of traffic data that they can deliver to users, and the bandwidth used to do so. Clearly, high data freshness will allow users to estimate trip times accurately, and to select the fastest route to a destination. Low bandwidth utilization will allow the traffic monitoring application to coexist symbiotically with a wide variety of vehicle-based applications, ranging from road safety to advertising and entertainment. In this paper, we investigate the problem of minimizing the bandwidth utilization of a vehicle-assisted traffic monitoring system, whilst adhering to user-defined requirements for data freshness. The novelty of our approach is that we jointly optimize two intertwined aspects of traffic monitoring: data acquisition and data forwarding. We investigate how their combined operation trades data freshness for bandwidth utilization, and we propose a novel mechanism that fine-tunes their parameters to optimize the overall system performance. Our mechanism is evaluated using realistic vehicular traces on a real city map.