A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
VigilNet: An integrated sensor network system for energy-efficient surveillance
ACM Transactions on Sensor Networks (TOSN)
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Underground structure monitoring with wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Preprocessing in a tiered sensor network for habitat monitoring
EURASIP Journal on Applied Signal Processing
LUSTER: wireless sensor network for environmental research
Proceedings of the 5th international conference on Embedded networked sensor systems
SensorFlock: an airborne wireless sensor network of micro-air vehicles
Proceedings of the 5th international conference on Embedded networked sensor systems
Brimon: a sensor network system for railway bridge monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
IEEE Transactions on Mobile Computing
Passive diagnosis for wireless sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
BikeNet: A mobile sensing system for cyclist experience mapping
ACM Transactions on Sensor Networks (TOSN)
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network
IEEE Wireless Communications
Continuous range k-nearest neighbor queries in vehicular ad hoc networks
Journal of Systems and Software
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This paper considers a micro-climate monitoring scenario, which usually requires deploying a large number of sensor nodes to capture environmental information. By exploiting vehicular sensor networks (VSNs), it is possible to equip fewer nodes on cars to achieve fine-grained monitoring. Specifically, when a car is moving, it could conduct measurements at different locations, thus collecting lots of sensing data. To achieve this goal, this paper proposes a VSN architecture to collect and measure air quality for micro-climate monitoring in city areas, where nodes' mobility may be uncontrollable (such as taxis). In the proposed VSN architecture, we address two network-related issues: (1) how to adaptively adjust the reporting rates of mobile nodes to satisfy a target monitoring quality with less communication overhead and (2) how to exploit opportunistic communications to reduce message transmissions. We propose algorithms to solve these two issues and verify their performances by simulations. In addition, we also develop a ZigBee-based prototype to monitor the concentration of carbon dioxide (CO"2) gas in city areas.