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Issue No. 04 - October-December (2003 vol. 2)
ISSN: 1536-1268
pp: 44-49
Slobodan N. Simic , University of California, Berkeley
ABSTRACT
<p>Supervised learning techniques have been applied in many diverse scenarios. They also might provide an effective approach to sensor network applications. A well-known learning-theory algorithm effectively applies to environmental monitoring, tracking of moving objects and plumes, and localization. This research, although preliminary, offers a beneficial perspective for the sensor network community to consider.</p>
INDEX TERMS
supervised learning, random wireless sensor network, distributed algorithms
CITATION
Slobodan N. Simic, "A Learning-Theory Approach to Sensor Networks", IEEE Pervasive Computing, vol. 2, no. , pp. 44-49, October-December 2003, doi:10.1109/MPRV.2003.1251168
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