Toward Community Sensing
A great opportunity exists to fuse information from populations of privately-held sensors to create useful sensing applications. For example, GPS devices, embedded in cellphones and automobiles, might one day be employed as distributed networks of velocity sensors for traffic monitoring and routing....
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| Vydáno v: | Information Processing in Sensor Networks; Proceedings: International Conference on Information Processing in Sensor Networks, 2008: St. Louis, MO s. 481 - 492 |
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| Hlavní autoři: | , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
Washington, DC, USA
IEEE Computer Society
22.04.2008
IEEE |
| Edice: | ACM Conferences |
| Témata: | |
| ISBN: | 9780769531571, 0769531571 |
| On-line přístup: | Získat plný text |
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| Abstract | A great opportunity exists to fuse information from populations of privately-held sensors to create useful sensing applications. For example, GPS devices, embedded in cellphones and automobiles, might one day be employed as distributed networks of velocity sensors for traffic monitoring and routing. Unfortunately, privacy and resource considerations limit access to such data streams. We describe principles of community sensing that offer mechanisms for sharing data from privately held sensors. The methods take into account the likely availability of sensors, the context-sensitive value of sensor information, based on models of phenomena and demand, and sensor owners' preferences about privacy and resource usage. We present efficient and well-characterized approximations of optimal sensing policies. We provide details on key principles of community sensing and highlight their use within a case study for road traffic monitoring. |
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| AbstractList | A great opportunity exists to fuse information from populations of privately-held sensors to create useful sensing applications. For example, GPS devices, embedded in cellphones and automobiles, might one day be employed as distributed networks of velocity sensors for traffic monitoring and routing. Unfortunately, privacy and resource considerations limit access to such data streams. We describe principles of community sensing that offer mechanisms for sharing data from privately held sensors. The methods take into account the likely availability of sensors, the context-sensitive value of sensor information, based on models of phenomena and demand, and sensor owners' preferences about privacy and resource usage. We present efficient and well-characterized approximations of optimal sensing policies. We provide details on key principles of community sensing and highlight their use within a case study for road traffic monitoring. |
| Author | Kansal, Aman Horvitz, Eric Krause, Andreas Zhao, Feng |
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| Keywords | spatial monitoring traffic monitoring privacy sensor networks probabilistic modeling value of information |
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| PublicationTitle | Information Processing in Sensor Networks; Proceedings: International Conference on Information Processing in Sensor Networks, 2008: St. Louis, MO |
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| Snippet | A great opportunity exists to fuse information from populations of privately-held sensors to create useful sensing applications. For example, GPS devices,... |
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| SubjectTerms | Automobiles Cellular phones Computing methodologies -- Modeling and simulation -- Simulation theory -- Systems theory Fuses Global Positioning System Hardware -- Communication hardware, interfaces and storage -- Signal processing systems Mathematics of computing -- Information theory Monitoring privacy probabilistic modeling Routing Security and privacy -- Human and societal aspects of security and privacy Sensor fusion sensor networks Sensor phenomena and characterization Social and professional topics -- Computing -- technology policy -- Privacy policies spatial monitoring Telecommunication traffic Traffic control traffic monitoring value of information |
| Title | Toward Community Sensing |
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