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Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks
Joint Authors
Liu, Lei
Chong, Jin-Song
Wang, Xiao-Qing
Hong, Wen
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-05
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Source localization is an important problem in wireless sensor networks (WSNs).
An exciting state-of-the-art algorithm for this problem is maximum likelihood (ML), which has sufficient spatial samples and consumes much energy.
In this paper, an effective method based on compressed sensing (CS) is proposed for multiple source locations in received signal strength-wireless sensor networks (RSS-WSNs).
This algorithm models unknown multiple source positions as a sparse vector by constructing redundant dictionaries.
Thus, source parameters, such as source positions and energy, can be estimated by ℓ1-norm minimization.
To speed up the algorithm, an effective construction of multiresolution dictionary is introduced.
Furthermore, to improve the capacity of resolving two sources that are close to each other, the adaptive dictionary refinement and the optimization of the redundant dictionary arrangement (RDA) are utilized.
Compared to ML methods, such as alternating projection, the CS algorithm can improve the resolution of multiple sources and reduce spatial samples of WSNs.
The simulations results demonstrate the performance of this algorithm.
American Psychological Association (APA)
Liu, Lei& Chong, Jin-Song& Wang, Xiao-Qing& Hong, Wen. 2012. Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-483424
Modern Language Association (MLA)
Liu, Lei…[et al.]. Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-483424
American Medical Association (AMA)
Liu, Lei& Chong, Jin-Song& Wang, Xiao-Qing& Hong, Wen. Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-483424
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483424