Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918823
- Title
- Predictive power control and multiple-description coding for wireless sensor networks
- Author/Creator
-
Østergaard, Jan;
Quevedo, Daniel E.;
Ahlén, Anders
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- 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.
- Relation
- 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
- http://dx.doi.org/10.1109/ICASSP.2009.4960201
- Date
- 2009
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
multiple-description coding;
power control;
wireless sensor networks;
fading channels
- Resource Type
- conference paper
- Rights
- Copyright © 2009 IEEE. Reprinted from the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Identifier
- http://hdl.handle.net/1959.13/918823
- Identifier
- ISBN:9781424423545
- Identifier
- ISSN:1520-6149
- Reviewed
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