Research Article
Collaborative sensing using uncontrolled mobile devices
@INPROCEEDINGS{10.1109/COLCOM.2005.1651206, author={Sunil Madhani and Miriam Tauil and Tao Zhang}, title={Collaborative sensing using uncontrolled mobile devices}, proceedings={1st International Conference on Collaborative Computing: Networking, Applications and Worksharing}, publisher={IEEE}, proceedings_a={COLLABORATECOM}, year={2006}, month={7}, keywords={Biosensors Chemical and biological sensors Cities and towns Collaboration Costs Information analysis Monitoring Software testing System testing Vehicle detection}, doi={10.1109/COLCOM.2005.1651206} }- Sunil Madhani
Miriam Tauil
Tao Zhang
Year: 2006
Collaborative sensing using uncontrolled mobile devices
COLLABORATECOM
IEEE
DOI: 10.1109/COLCOM.2005.1651206
Abstract
This paper considers how uncontrolled mobiles can be used to collaboratively accomplish sensing tasks. Uncontrolled mobiles are mobile devices whose movements cannot be easily controlled for the purpose of achieving a task. Examples include sensors mounted on mobile vehicles of people to monitor air quality and to detect potential airborne nuclear, biological, or chemical agents. We describe an approach for using uncontrolled mobile devices for collaborative sensing. Considering the potentially large number of mobile sensors that may be required to monitor a large geographical area such as a city, a key issue is how to achieve a proper balance between performance and costs. We present analytical results on the rate of information reporting by uncontrolled mobile sensors needed to cover a given geographical area. We also present results from testbed implementations to demonstrate the feasibility of using existing low-cost software technologies and platforms with existing standard protocols for information reporting and retrieval to support a large system of uncontrolled mobile sensors.