Title :
Power constrained distributed estimation over noisy channels in WSNs
Author :
Fang, Jun ; Li, Hongbin
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ
Abstract :
We consider distributed estimation of a random scalar parameter in a wireless sensor network (WSN), where, by employing a simple uncoded analog amplify-and-forward transmission scheme, the measurements are sent from the sensors to the fusion center (FC) over noisy wireless channels. Under a total transmission power constraint, we study the power allocation among the sensors to minimize the estimation mean-square error (MSE) at the FC. We present an effective solution which allows for correlated sensor observations. Numerical results are presented to illustrate the effectiveness of the proposed algorithm.
Keywords :
least mean squares methods; wireless channels; wireless sensor networks; fusion center; mean-square error; noisy channels; noisy wireless channels; power constrained distributed estimation; random scalar parameter; uncoded analog amplify-and-forward transmission scheme; wireless sensor network; Additive noise; Algorithm design and analysis; Bandwidth; Cost function; Distortion; Estimation error; Fading; Power measurement; Sensor fusion; Wireless sensor networks; Distributed estimation; power allocation; wireless sensor networks (WSNs);
Conference_Titel :
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-2246-3
Electronic_ISBN :
978-1-4244-2247-0
DOI :
10.1109/CISS.2008.4558674
