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Adaptive Neural Network Controller for Modeling Link Quality in WSANs

by Mehdi J. Marie, Ghaida A. Al-suhail
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 11
Year of Publication: 2013
Authors: Mehdi J. Marie, Ghaida A. Al-suhail
10.5120/10122-4884

Mehdi J. Marie, Ghaida A. Al-suhail . Adaptive Neural Network Controller for Modeling Link Quality in WSANs. International Journal of Computer Applications. 62, 11 ( January 2013), 10-16. DOI=10.5120/10122-4884

@article{ 10.5120/10122-4884,
author = { Mehdi J. Marie, Ghaida A. Al-suhail },
title = { Adaptive Neural Network Controller for Modeling Link Quality in WSANs },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 11 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number11/10122-4884/ },
doi = { 10.5120/10122-4884 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:29.831752+05:30
%A Mehdi J. Marie
%A Ghaida A. Al-suhail
%T Adaptive Neural Network Controller for Modeling Link Quality in WSANs
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 11
%P 10-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper develops a new approach based on off-line trained artificial neural networks (ANNs) for an adaptive controller to compensate the packet loss and delay which almost occur in the channels of wireless sensor/actuator networks (WSANs). A model reference adaptive controller scheme is used to enhance the performance of the control system. The capability of training of ANNs is proposed to create a new controller which can be called model reference adaptive neural network controller (MRANNC) in WSANs to improve the link reliability and make the overall WSAN performance better. The dynamics of the plant are stored in the ANN. The output of the plant is regulated according to a prespecified reference signal. The simulation results show a promising approach that can be used to enhance the link quality in wireless control system. The packet loss of channel can be considerably adapted at different sampling times with and without time delays.

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor and actuator networks Link quality Neural networks Model reference adaptive controller

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