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We develop distributed algorithms for self-reconfiguring sensor
networks that respond to directing a target through a region. The
sensor network models the danger levels sensed across its area and has
the ability to adapt to changes. It represents the dangerous areas as
obstacles. A protocol that combines the artificial potential field of
the sensors with the goal location for the moving object guides the
object incrementally across the network to the goal, while maintaining
the safest distance to the danger areas. We report on hardware
experiments using a physical sensor network consisting of Mote
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Qun Li, Michael De Rosa, and Daniela Rus, "Distributed Algorithms for Guiding Navigation across a Sensor Network." Dartmouth Computer Science Technical Report TR2002-435, October 2002.
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