Conference proceeding
Belief propagation distributed estimation in sensor networks: An optimized energy accuracy tradeoff
2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, pp 2297-2300
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The estimation error performance of Gaussian belief propagation based distributed estimation in a large sensor network employing random sleep strategies is explicitly evaluated for a simple model using density evolution analysis. Both regular sleep strategies, in which the number of nodes awake at any time instant is fixed, as well as irregular sleep strategies, in which the number of awake nodes may vary, are analyzed. The calculated estimation error is used to study the tradeoff between estimation accuracy and energy consumption, as well as to dictate the optimal parameters for the random sleep strategy.
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Details
- Title
- Belief propagation distributed estimation in sensor networks: An optimized energy accuracy tradeoff
- Creators
- John MacLaren Walsh - Drexel UniversityPhillip A. Regalia - Catholic University of America, Dept. of Elec. Eng & Comp. Sci., Washington, DC, USAIEEE
- Publication Details
- 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, pp 2297-2300
- Series
- International Conference on Acoustics Speech and Signal Processing ICASSP
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- CCF-0728496; CCF 0728521 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000257456701236
- Scopus ID
- 2-s2.0-51449102284
- Other Identifier
- 991019168210304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Acoustics
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics
- Engineering, Biomedical
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology
- Mathematical & Computational Biology
- Radiology, Nuclear Medicine & Medical Imaging
- Telecommunications