CFP last date
22 April 2024
Reseach Article

Adaptive Neural Network Controller for Modeling Link Quality in WSANs

by Mehdi J. Marie, Ghaida A. Al-suhail
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.

References
  1. Verdone. , R. , Dardari, D. , Mazzini, G. , and Conti, A. 2008. Wireless sensor and actuator networks. University of Bologna.
  2. Akyildiz, I. F. and Vuran, M. 2010. Wireless sensor networks. John-Whily & sons.
  3. Mazumder, S. 2011. Wireless networking based control . Springer. Chapter 7, pp. 85-102.
  4. Nayak, A. and Stojmenovic, I. 2010 . Wireless sensor and actuator networks . John-Whiley & sons.
  5. Xia, F. , Tian, Y. and Sun, Y. 2007 Wireless sensor/actuator networks for mobile control. Sensors 7(10), pp. 2157-2173.
  6. Melodia, T. Pompili, M. and Akyilidiz, I. F. 2010. Handling mobility in wireless sensor and actuator networks. IEEE Transaction on mobile computing, 9(2), pp. 160-173.
  7. Li, S. 2006 . Wireless sensor actuator networks for light monitoring and control applications. proc. 3rd IEEE consumer communication and networking conf. , pp. 974-978.
  8. Mostofi, Y. and Murray, R. 2004. Effect of time varying fading channels on the control performance of mobile sensor node . in Proc. of IEEE 1st Inter. Conf on sensor and Ad hoc Communications and Networks (Secon) .
  9. Liu, X. , and Goldsmith, A. 2004 . Wireless network design for distributed control. in Proc. IEEE Conf. on Decision and Control, pp. 2823-2829.
  10. Colandiraj, J. , Irwin, G. and Scanlon, W 2007. Wireless networked control system with QoS-based Sampling IET Control Theory & Applications.
  11. Ngai, E. , Liu, J. and Lyu, M. 2007. Delay – minimized route design for wireless sensor-actuator networks. IEEE WCNC.
  12. Haspanha, J. , Naghshtabriz, P. , and. Xu, Y. 2007. Survey of recent results in networked control systems. in Proc. of IEEE pp. 132-162.
  13. Morles, C. , and Neil, C. 1993. Neural networks based adaptive control design. Journal of system Engineering, Springer-Verlag.
  14. Omatu, S. , Khalid, M. , and Yousif, R. 1996. Neuro control and its applications. Springer-Verlag.
  15. Kawka, P. and Alleyne, A. 2005. Stability and feedback control of wireless networked systems. in American Control conference, Portland, OR, USA, pp. 2953-2959.
  16. Henriksson, D. , Ohlin, M. , and Cervin, A. 2006. Truetime simulations of networked computer control systems. 2nd IEAC conference on analysis and design of hybrid systems.
  17. Martin, A. , Henriksson, D. , Cervin, A. , and Arzen, K. 2005. Simulation of wireless networked control systems. In proc. 44th IEEE Conf. on Decision and Control, pp. 476-481.
  18. Vardhan, S. , and Kumar, R. 2011. Simulation of time delay compensation in networked control systems. Cyber Journals; Multidisciplinary Journals in Science and Technology, pp. 38-43.
  19. Yang, Y. , Viktor K. , and Chari, K. 2006. Information processing and routing in wireless sensor network. World Scientific publishing Co. Chapter1, pp. 1-21.
  20. Carlos, M. , and Dharma, P. 2011. Ad-hoc and sensor network: Theory and applications. World Scientific publishing Co. Chapters 1, 3, 5, 7, pp. 1-317.
Index Terms

Computer Science
Information Sciences

Keywords

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