The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Probabilistic routing in intermittently connected networks
ACM SIGMOBILE Mobile Computing and Communications Review
Performance evaluation of safety applications over DSRC vehicular ad hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Prioritized epidemic routing for opportunistic networks
Proceedings of the 1st international MobiSys workshop on Mobile opportunistic networking
Evaluating opportunistic routing protocols with large realistic contact traces
Proceedings of the second ACM workshop on Challenged networks
A Delaunay Triangulation based method for wireless sensor network deployment
Computer Communications
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
The Journal of Machine Learning Research
Efficient Viewpoint Selection for Urban Texture Documentation
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
Simultaneous placement and scheduling of sensors
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Using location based social networks for quality-aware participatory data transfer
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
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The sensing systems that monitor physical environments rely on communication infrastructures (wired or wireless) to collect data from the sensors embedded in the environment. However, in many urban environments pre-existing communication infrastructures are not available, and installing new infrastructures is unjustifiably expensive and/or technically infeasible. For such environments, we envision Participatory Data Transfer (PDT) as an alternative communication medium that leverages users participation for data transfer. With PDT, users use mobile devices to receive data from sensors, and forward the sensed data through the ad hoc network of the mobile devices until the data is received by the data aggregators (i.e., data sinks). Sensor deployment and ad hoc routing/ networking are two related problems that are both extensively studied in the literature. However, to enable efficient deployment of PDT for sensing applications one needs to consider the requirements of the two aforementioned problems in conjunction. In this paper, we present a case study of PDT with which we explore the performance of PDTbased data transfer with a sample urban sensing application, namely, an urban temperature monitoring application. Our experimental case study is by simulation based on real datasets including GPS track data for more than 2000 vehicles in the city of Beijing. We discuss our observations based on this case study which can serve as directions to design application-specific optimal PDT mechanisms.