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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© 2007 Springer-Verlag Berlin Heidelberg
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Iyengar, S.S. (2007). Feature Extraction and Coverage Problems in Distributed Sensor Networks. In: Stojmenovic, I., Thulasiram, R.K., Yang, L.T., Jia, W., Guo, M., de Mello, R.F. (eds) Parallel and Distributed Processing and Applications. ISPA 2007. Lecture Notes in Computer Science, vol 4742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74742-0_2
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DOI: https://doi.org/10.1007/978-3-540-74742-0_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74741-3
Online ISBN: 978-3-540-74742-0
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