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Abstract

Distributed Sensor Network is a classical area of multi- disciplinary science. This needs a special type of computing, communication and sensing. This talk presents some new results on the following topics: 1) An optimization framework based on mathematical programming for maximizing the coverage probability of a sensor field under the constraints of investment limit; 2) Feature extraction using sensor networks.

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