Title :
Power Allocation in Linear and Tree WSN Topologies
Author :
Thatte, Gautam ; Mitra, Urbashi
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
Estimation at a fusion center in a wireless sensor network is examined. The problem at hand is to perform power allocation subject to a total network power constraint while minimizing the mean-squared error of the estimate. In particular, amplify-and-forward and estimate-and-forward protocols are considered in linear and tree topologies. Analytical solutions for these cases appear to be intractable, and thus asymptotically optimal (for increasing measurement noise variance) solutions are derived. The optimal limiting power policy for the leaf nodes in branch and tree topologies is power equalization, whereas in linear networks, the optimal solution is weighted power equalization.
Keywords :
mean square error methods; protocols; telecommunication network topology; wireless sensor networks; WSN topology; amplify-and-forward protocols; estimate-and-forward protocols; fusion center; linear topology; mean-squared error minimization; network power constraint; power allocation; tree topology; weighted power equalization; wireless sensor network; Analysis of variance; Distortion measurement; Network topology; Noise measurement; Parameter estimation; Power system modeling; Protocols; Sensor fusion; Wireless sensor networks; Working environment noise;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.354975