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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Veröffentlicht in:Information Processing in Sensor Networks; Proceedings: International Conference on Information Processing in Sensor Networks, 2008: St. Louis, MO S. 481 - 492
Hauptverfasser: Krause, Andreas, Horvitz, Eric, Kansal, Aman, Zhao, Feng
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 22.04.2008
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
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
spatial monitoring
traffic monitoring
privacy
sensor networks
probabilistic modeling
value of information
ISBN:9780769531571, 0769531571
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:9780769531571
0769531571
DOI:10.1109/IPSN.2008.37