Title : ( Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence )
Authors: saeed hakimi , Ghosheh Abed Hodtani ,
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Abstract
The problem of power allocation for distributed detection in a power constrained wireless sensor network is considered. The sensors are assumed to have independent observations and send their local decisions to a fusion center over multiple access channels. The Jensen-Shannon divergence between the distributions of the detection statistic under different hypotheses is used as a performance criterion. It is demonstrated that by applying the proposed measure power allocation is more efficient comparing to other criteria like mean square error or Jeffry divergence
Keywords
, distance measures, distributed detection, power allocation, wireless sensor networks (WSNs).
@article{paperid:1054071,
author = {Hakimi, Saeed and Abed Hodtani, Ghosheh},
title = {Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence},
journal = {مهندسی برق مدرس- Modares Journal of Electrical Engineering},
year = {2016},
volume = {13},
number = {2},
month = {March},
issn = {2228-527X},
pages = {13--21},
numpages = {8},
keywords = {distance measures; distributed detection; power allocation; wireless sensor networks (WSNs).},
}
%0 Journal Article
%T Power Allocation for Distributed Detection in Wireless Sensor Networks Using Jensen Shannon Divergence
%A Hakimi, Saeed
%A Abed Hodtani, Ghosheh
%J مهندسی برق مدرس- Modares Journal of Electrical Engineering
%@ 2228-527X
%D 2016
