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Block-sparsity-based localization in wireless sensor networks.
- Source :
-
EURASIP Journal on Wireless Communications & Networking . 8/1/2015, Vol. 2015 Issue 1, p1-15. 15p. - Publication Year :
- 2015
-
Abstract
- In this paper, we deal with the localization problem in wireless sensor networks, where a target sensor location must be estimated starting from few measurements of the power present in a radio signal received from sensors with known locations. Inspired by the recent advances in sparse approximation, the localization problem is recast as a block-sparse signal recovery problem in the discrete spatial domain. In this paper, we develop different RSS-fingerprinting localization algorithms and propose a dictionary optimization based on the notion of the coherence to improve the reconstruction efficiency. The proposed protocols are then compared with traditional fingerprinting methods both via simulation and on-field experiments. The results prove that our methods outperform the existing ones in terms of the achieved localization accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16871472
- Volume :
- 2015
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- EURASIP Journal on Wireless Communications & Networking
- Publication Type :
- Academic Journal
- Accession number :
- 109217441
- Full Text :
- https://doi.org/10.1186/s13638-015-0410-6