GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Principles of computerized tomographic imaging
Principles of computerized tomographic imaging
Monitoring deployed software using software tomography
Proceedings of the 2002 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Trajectory based forwarding and its applications
Proceedings of the 9th annual international conference on Mobile computing and networking
Convex Optimization
Short paper: Random IDs for preserving location privacy
SECURECOMM '05 Proceedings of the First International Conference on Security and Privacy for Emerging Areas in Communications Networks
On delivery guarantees of face and combined greedy-face routing in ad hoc and sensor networks
Proceedings of the 12th annual international conference on Mobile computing and networking
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Building a sensor network of mobile phones
Proceedings of the 6th international conference on Information processing in sensor networks
Understanding and visualizing full systems with data flow tomography
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Environmental Tomography: Ubiquitous Sensing with Mobile Devices
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Position-based routing in ad hoc networks
IEEE Communications Magazine
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By embedding sensors in mobile devices, it is possible to exploit the ubiquitous presence of these devices to construct applications for large-scale sensing and monitoring of environmental phenomena. To this end, we present Environmental Tomography, a novel approach in which mobile devices participate in the collection of aggregate sensor readings along roads or sidewalks, and these aggregates are used to reconstruct an estimate of the contaminant distribution throughout a region. We demonstrate how our data collection process preserves user location privacy and is robust to sensor and location reading errors. We also show how the estimation process can be formulated as a convex optimization problem that incorporates the physical dynamics of the phenomenon of interest. We study the performance of Environmental Tomography using various road network layouts and realistic models of pollution. Results indicate that estimates generated from path aggregates are of comparable accuracy to estimates generated from significantly greater numbers of individual sensor readings.