tailieunhanh - Báo cáo hóa học: " Minimum Energy Decentralized Estimation in a Wireless Sensor Network with Correlated Sensor Noises"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Minimum Energy Decentralized Estimation in a Wireless Sensor Network with Correlated Sensor Noises | EURASIP Journal on Wireless Communications and Networking 2005 4 473-482 2005 Alexey Krasnopeev et al. Minimum Energy Decentralized Estimation in a Wireless Sensor Network with Correlated Sensor Noises Alexey Krasnopeev Department of Electrical and Computer Engineering University of Minnesota 200 Union Street SE Minneapolis MN 55455 USA Email kras0053@ Jin-Jun Xiao Department of Electrical and Computer Engineering University of Minnesota 200 Union Street SE Minneapolis MN 55455 USA Email xiao0029@ Zhi-Quan Luo Department of Electrical and Computer Engineering University of Minnesota 200 Union Street SE Minneapolis MN 55455 USA Email luozq@ Received 25 November 2004 Revised 20 May 2005 Consider the problem of estimating an unknown parameter by a sensor network with a fusion center FC . Sensor observations are corrupted by additive noises with an arbitrary spatial correlation. Due to bandwidth and energy limitation each sensor is only able to transmit a finite number of bits to the FC while the latter must combine the received bits to estimate the unknown parameter. We require the decentralized estimator to have a mean-squared error MSE that is within a constant factor to that of the best linear unbiased estimator BLUE . We minimize the total sensor transmitted energy by selecting sensor quantization levels using the knowledge of noise covariance matrix while meeting the target MSE requirement. Computer simulations show that our designs can achieve energy savings up to 70 when compared to the uniform quantization strategy whereby each sensor generates the same number of bits irrespective of the quality of its observation and the condition of its channel to the FC. Keywords and phrases wireless sensor networks decentralized estimation power control energy efficiency. 1. INTRODUCTION Wireless sensor networks WSNs are ideal for environmental monitoring applications because of their low implementation cost agility and robustness to sensor failures. A