A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks
Wireless sensor networks rely on sensor devices deployed in an environment to support sensing and monitoring, including temperature, humidity, motion, and acoustic. Here, we propose a new approach to model physical phenomena and track their evolution by taking advantage of the recent developments of...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2010-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Online Access: | http://dx.doi.org/10.1155/2010/627372 |