Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99362
Title: Sensor selection for random field estimation in wireless sensor networks
Authors: Weng, Yang
Xie, Lihua
Xiao, Wendong
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2012
Source: Weng, Y., Xie, L., & Xiao, W. (2012). Sensor selection for random field estimation in wireless sensor networks. Journal of systems science and complexity, 25(1), 46-59.
Series/Report no.: Journal of systems science and complexity
Abstract: This paper studies the sensor selection problem for random field estimation in wireless sensor networks. The authors first prove that selecting a set of l sensors that minimize the estimation error under the D-optimal criterion is NP-complete. The authors propose an iterative algorithm to pursue a suboptimal solution. Furthermore, in order to improve the bandwidth and energy efficiency of the wireless sensor networks, the authors propose a best linear unbiased estimator for a Gaussian random field with quantized measurements and study the corresponding sensor selection problem. In the case of unknown covariance matrix, the authors propose an estimator for the covariance matrix using measurements and also analyze the sensitivity of this estimator. Simulation results show the good performance of the proposed algorithms.
URI: https://hdl.handle.net/10356/99362
http://hdl.handle.net/10220/17212
DOI: http://dx.doi.org/10.1007/s11424-012-0105-6
metadata.item.grantfulltext: none
metadata.item.fulltext: No Fulltext
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