Disturbance-Rejection Analysis of TCP-Based Wireless Networks in an Uncertain Channel using PID Control Techniques

Abstract

Wireless networks experience some uncertainties which results from an unpredictable nature of wireless signals, interferences and signal propagation, leading to overall degradation of the entire system. The results lead to packet loss, fading, delays, reduced throughput and low latency. This paper is aimed at using PID Control Techniques to track network uncertainties in a TCP-based network and at the same time cancels it to enhanced the overall system performances. System performance measurement and analysis of the TCP- based network was performed with a link capacity of 3750, 4200 and 4500 packet/seconds respectively in three scenarios. The results showed that the PID control technique recorded sensitivity value of 0.0329dB, 0.0345dB and 0.0821dB. (all are less than 1dB), this means that it achieved good sensitivity levelto network disturbance for faster disturbance rejection capability and reduced sensitivity. I however recommend the PID control technique for wireless network improvement to attain enhanced performance, stability and good QoS.

Country : Nigeria

1 Philip-Kpae F. O.2 Bakare B. I.3 Gobo I. W.

  1. Department of Electrical Engineering, Faculty of Engineering, Rivers State University, P. M. B. 5080, Nkpolu-Oroworukwo, Port-Harcourt, Nigeria
  2. Department of Electrical Engineering, Faculty of Engineering, Rivers State University, P. M. B. 5080, Nkpolu-Oroworukwo, Port-Harcourt, Nigeria
  3. Department of Electrical Engineering, Faculty of Engineering, Rivers State University, P. M. B. 5080, Nkpolu-Oroworukwo, Port-Harcourt, Nigeria

IRJIET, Volume 7, Issue 11, November 2023 pp. 246-253

doi.org/10.47001/IRJIET/2023.711034

References

  1. Abed, G.A., Ismail, M. and Jumari, K., (2011), Modeling and Performance Evaluation of LTE Networks with Different TCP Variants, World Academy of Science, Engineering and Technology, International Journal of Electronics and Communication Engineering Vol. 5, No. 3, pp. 443-448.
  2. Adnan, M. A., Younis, M. F., &Agbasi, A. M., (2016). PID Control in Wireless Networks for adaptive parameter adjustment. IEEE Communications Magazine, 54(10), 112 – 117.
  3. Agbaraji E.C., (2015), Robustness Analysis of a Closed-loop Controller for a Robot Manipulator in Real Environments, Physical Science International Journal, 8(3): 1-11.
  4. Capozzi F., Piro G., Grieco, L. A., Boggia, G. &Camarda, P. (2013) “Downlink packet scheduling in LTE cellular networks: key design issues and a survey,” IEEE Communications Surveys &Tutorials, vol. 15, no. 2, pp. 678–700.
  5. Chen, Y., Li, S. & Zhang, H., (2019). Impact of Uncertain Channel Conditions on TCP-based wireless networks, Journal of wireless communications and mobile computing, 19(5), 1045 – 1060.
  6. Dukkipati RV. (2006), Analysis of design of control system using MATLAB, New Age International (P) Limited Publishers, New Delhi.
  7. Giglio A., (2004), Router-based Congestion Control through Control Theoretic Active Queue Management, TKH Signals Sensors and Systems, pp. 1-98.
  8. Guo, Y. Wang, M., Xing, C., & Chen, Y. (2014). SDN-based network traffic optimization using PID controllers. In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) (Pp. 1705 - 1710). IEEE.
  9. Huynh, T. M., Le, T. A., & Ngo, V. T., (2017). TCP Congestion Control in wireless networks challenges and techniques. In 2017 International Conference on Advanced Technologies for Communications, (ATC), (Pp 59 - 64). IEEE.
  10. Haider S. A., Murntaz, S., Batool., S, Abbasi, Y. A., & Ahmed, S., (2018). A PID controller to enhance network lifetime in wireless sensor networks. In 2018 International Conference on wireless Communications and Signal Processing (WCSP), (Pp. 1 - 6), IEE.
  11. Liu, C., Niu, K., & Shu, L., (2016). A PID-based approach for network link congestion control. Journal of Network and Computer Application. 75, 277 – 284.
  12. Philip-Kpae, F. O., Nwabueze, C. A., & Mbachu, C. B. (2022). Settling-Time Analysis in TCP Expedited LTE Wireless Network Using Mixed Sensitivity Control and PID Control Technique. International Journal of Electronics, Communication &Instrumentation Engineering Research and Development (IJECIERD), 12(1) Pp1-20
  13. Wang, Y., Liu, S., & Li, X., (2018). Utilizing PID Control to mitigate the impact of uncertain channel conditions on TCP performance. IEEE Transactions on Vehicular Technology, 67(9), 8586 – 8597.
  14. Wang, Y., Xu, B., & Zhou, X., (2015). TCP Performance Optimization in wireless networks with uncertain channel conditions. Journal of Network and Computer Applications. 52, 34 – 42.
  15. Yang, L., Al-Turjman, F., & Wu, U. (2018). Performance analysis of TCP over uncertain wireless channel conditions. Journal of Network and Computer Applications. 117, 119 -128.
  16. Zhang, L., Wang, X., & Li, J., (2017). Fading and Shadowing effects in wireless channels. Channel estimation and prediction for improved TCP performance. IEEE Transactions on Wireless Communications. 17(8), 5312 – 5324.
  17. Zheng, Y., Qu, M., Jin, Y., & Guizani, M. (2017). A survey of PID Control Techniques in network traffic management. Communications Surveys & Tutorials. 19(4), 2737 – 2765.
  18. Zheng, Y., Liu, X., Qu, M., & Guizani, M. (2013). Impact of Uncertain Channel conditions on TCP-based wireless networks. Journal of Network and Computer Applications 36(1), 277 – 286.