Title :
Bandwidth-Efficient Distributed Estimation in Inhomogeneous Wireless Sensor Networks
Author :
Zhang, Li ; Zhang, Xian-Da ; Gao, Qiubin ; Han, Fang-Ming
Author_Institution :
Tsinghua Univ., Beijing
fDate :
March 31 2008-April 3 2008
Abstract :
This paper presents a distributed estimation scheme (DES) along with the bit allocation algorithm, which minimizes the total required bandwidth while ensuing a given average estimation mean-squared error (MSE). The DES comprises of a probabilistic Lloyd-Max quantization rule, and a best linear unbiased estimation (BLUE). Since the optimum bit allocation problem does not have a closed form, we present a suboptimal solution utilizing the alternating minimization (AM) algorithm. Finally, simulation results are provided to show the effectiveness of the proposed DES along with the bit allocation algorithm.
Keywords :
bandwidth allocation; estimation theory; mean square error methods; probability; wireless sensor networks; alternate minimization algorithm; average estimation mean-squared error; bandwidth-efficient distributed estimation; best linear unbiased estimation; bit allocation algorithm; inhomogeneous wireless sensor network; probabilistic Lloyd-Max quantization rule; Bandwidth; Bit rate; Communications Society; Information science; Laboratories; Maximum likelihood estimation; Minimization methods; Quantization; Signal processing algorithms; Wireless sensor networks;
Conference_Titel :
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1997-5
DOI :
10.1109/WCNC.2008.137