Issue No. 04 - October-December (2003 vol. 2)
Slobodan N. Simic , University of California, Berkeley
<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>
supervised learning, random wireless sensor network, distributed algorithms
S. N. Simic, "A Learning-Theory Approach to Sensor Networks," in IEEE Pervasive Computing, vol. 2, no. , pp. 44-49, 2003.