Journal
IEEE COMMUNICATIONS LETTERS
Volume 18, Issue 4, Pages 668-671Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2014.012114.132638
Keywords
Distributed quantization; distributed estimation; inhomogeneous sensor networks; Hungarian algorithm
Categories
Ask authors/readers for more resources
The estimation of a random scalar parameter using sensors' noisy data has been studied in the context of wireless sensor networks. In energy-constrained networks, the sensors are restricted to low transmission rates to preserve battery power. Hence, in our distributed estimation method, only one bit of a B-bit quantization is sent from each sensor to the fusion center, where the unknown parameter is estimated. To optimize the estimation performance in an inhomogeneous sensor network, we find the best bit-sensor assignment based on the sensors' noise variance. In our method, we use the Hungarian algorithm for the assignment optimization problem.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available