Power scheduling of universal decentralized estimation in sensor networks

Jin-Jun Xiao; Shuguang Cui; Zhi-Quan Luo; A.J Goldsmith

doi:10.1109/TSP.2005.861898

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Power scheduling of universal decentralized estimation in sensor networks

Journal article

Peer reviewed

Power scheduling of universal decentralized estimation in sensor networks

Jin-Jun Xiao, Shuguang Cui, Zhi-Quan Luo and A.J Goldsmith

IEEE transactions on signal processing, Vol.54(2), pp.413-422

01/02/2006

DOI: https://doi.org/10.1109/TSP.2005.861898

Abstract

Operations research

Studies

Supposing that the sensors use a universal decentralized quantization/estimation scheme and an uncoded quadrature amplitude modulated (QAM) transmission strategy, we determine the optimal quantization and transmit power levels at local sensors so as to minimize the total transmit power, while ensuring a given mean squared error (mse) performance.

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Title: Power scheduling of universal decentralized estimation in sensor networks
Creators - without role: Jin-Jun Xiao - University of Minnesota
Shuguang Cui - Stanford University
Zhi-Quan Luo - University of Minnesota
A.J Goldsmith - Stanford University
Publication Details: IEEE transactions on signal processing, Vol.54(2), pp.413-422
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9938474708331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article