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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918823
- Predictive power control and multiple-description coding for wireless sensor networks
Quevedo, Daniel E.;
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- We study state estimation via wireless sensor networks over fading channels affected by random packet loss. In the configuration examined, the sensors send their measurements to a single gateway, which decides upon the source coding scheme and the sensor transmitter power levels. The decision process is carried out on-line and adapts to changing channel conditions to achieve an optimal trade-off between estimation quality and sensor energy expenditure. In particular, if some channel conditions are poor, then the gateway commands the corresponding sensors to increase power levels and use multiple-description coding. Simulations based on measured channel data illustrate that the proposed scheme gives excellent results.
- IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 (ICASSP 2009). 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings (Taipei, Taiwan 19-24 April, 2009) p. 2785-2788
- Publisher Link
- Institute of Electrical and Electronics Engineers (IEEE)
wireless sensor networks;
- Resource Type
- conference paper
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