IEEE Sensors Letters, Volume (5), No (4), Year (2021-4) , Pages (1-4)

Title : ( Power Allocation for Wireless Sensor Networks in the Presence of Non-Gaussian Noise and Hardware Impairments Using Distance-Related Bounds )

Authors: Seyed Ali Mohajeran , Ghosheh Abed Hodtani ,

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Abstract

In this paper, we investigate the problem of power allocation in wireless sensor networks (WSNs), where, transceiver hardware-impairments (HWIs) at both sensors and fusion center (FC) are considered. In addition, the received signal at FC is corrupted with the additive non-Gaussian noise (ANGN), which is characterized by a Gaussian mixture distribution. For this purpose the Bhattacharyya distance is analyzed as the objective function for formulating the transmit power allocation. Then, we obtain an approximate closed-form expression for the Bhattacharyya distance between two Gaussian mixture distributions. Moreover, empirical impulsive noise model, i.e., the BernoulliGaussian and the Poisson Gaussian models are exploited for the simulation and the results are compared with each other.

Keywords

, Additive non-Gaussian noise (ANGN) , hardware-impairments (HWI) , power allocation , information theoretic criterion
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@article{paperid:1084148,
author = {Mohajeran, Seyed Ali and Abed Hodtani, Ghosheh},
title = {Power Allocation for Wireless Sensor Networks in the Presence of Non-Gaussian Noise and Hardware Impairments Using Distance-Related Bounds},
journal = {IEEE Sensors Letters},
year = {2021},
volume = {5},
number = {4},
month = {April},
issn = {2475-1472},
pages = {1--4},
numpages = {3},
keywords = {Additive non-Gaussian noise (ANGN) ; hardware-impairments (HWI) ; power allocation ; information theoretic criterion},
}

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%0 Journal Article
%T Power Allocation for Wireless Sensor Networks in the Presence of Non-Gaussian Noise and Hardware Impairments Using Distance-Related Bounds
%A Mohajeran, Seyed Ali
%A Abed Hodtani, Ghosheh
%J IEEE Sensors Letters
%@ 2475-1472
%D 2021

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