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Journal of Computer and System Sciences - 18th Annual ACM Symposium on Theory of Computing (STOC), May 28-30, 1986
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Directed diffusion: a scalable and robust communication paradigm for sensor networks
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DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
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IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
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An efficient heuristic for selecting active nodes in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
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Optimal Movement of Mobile Sensors for Barrier Coverage of a Planar Region
COCOA 2008 Proceedings of the 2nd international conference on Combinatorial Optimization and Applications
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Optimal movement of mobile sensors for barrier coverage of a planar region
Theoretical Computer Science
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IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Sentry-based power management in wireless sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Energy optimization in wireless medical systems using physiological behavior
WH '10 Wireless Health 2010
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ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
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Automatica (Journal of IFAC)
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ACM Transactions on Sensor Networks (TOSN)
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Wireless ad hoc sensor networks have the advantage of spanning a large geographical region and being able to collaboratively detect and track non-local spatio-temporal events. This paper presents a dual-space approach to event tracking and sensor resource management in sensor networks. The dual-space transformation maps a non-local phenomenon, e.g., the edge of a half-plane shadow, to a single point in the dual space, and maps locations of distributed sensor nodes to a set of lines that partitions the dual space. The detection problem becomes finding and tracking the cell that contains the point in the arrangement defined by these lines. This mechanism can be effectively used for power management of the sensor network - nodes that will not be immediately visited by an event can be turned off to save energy required for sensing, processing, and communication. The approach has been successfully demonstrated on a laboratory testbed built using the UC Berkeley motes sensors. An implemented application of detecting and tracking light shadow edges moving over a sensor field is described.