Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems

  • Yinqing Tang
  • Feng DuEmail author
  • Xianming Fang


A deadband scheduling method is proposed for wireless networked control system (WNCS), in which multiple loops share the same wireless network. The bandwidth of wireless network is very limited. The signal transmission among nodes vies for network resources, which will lead to the increase of network congestion and delays in WNCS. Deadbands are set up in both sensor and controller nodes so as to achieve network scheduling. In the sensor node, whether the sensor node sends data packet to wireless network or not depends on a deadband scheduling strategy. The deadband form is according to the difference between current sampling signal and the previous transmission signal, as well as the difference of two consecutive sampling signals. In the controller node, we use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic.


Deadband scheduling Sensor node Controller node Wireless networked control systems (WNCS) 



This work is partially supported by the National Natural Science Foundation of China (Grant No. 61263001) and International S&T Cooperation Projects of China (No. 2015DFR10510) and the State Key Laboratory of Marine Resource Utilization in South China Sea of Hainan University.


  1. 1.
    F. Du and W. C. Du, Wireless networked control systems with nonlinear control and novel smith predictor. In 2009 IITA International Conference on Control, Automation and Systems Engineering, Zhangjiajie, China, pages 648–651, 2009.Google Scholar
  2. 2.
    L. Li and M. Lemmon, Weakly coupled event triggered output feedback system in wireless networked control systems, Procedia Computer Science, Vol. 24, No. 2, pp. 247–260, 2014.MathSciNetzbMATHGoogle Scholar
  3. 3.
    Z. Z. Qiu, Q. L. Zhang and M. Liu, Controller design for networked control systems with time delay and data packet dropout, Control and Decision, Vol. 21, No. 6, pp. 625–630, 2006.zbMATHGoogle Scholar
  4. 4.
    F. L. Qu, Z. H. Guan, T. Li and F. S. Yuan, Stabilisation of wireless networked control systems with packet loss, IET Control Theory and Applications, Vol. 6, No. 15, pp. 2362–2366, 2013.MathSciNetCrossRefGoogle Scholar
  5. 5.
    L. Yang, X. P. Guan, C. N. Long and X. Y. Luo, Analysis and design of wireless networked control system utilizing adaptive coded modulation, Acta Automatica Sinica, Vol. 35, No. 7, pp. 911–918, 2009.MathSciNetGoogle Scholar
  6. 6.
    P. A. Kawka and A. G. Alleyne, Stability and feedback control of wireless networked systems. In American Control Conference, Portland, USA, pages 2953–2959, 2005.Google Scholar
  7. 7.
    J. N. Li, H. Y. Su, Z. G. Wu and J. Chu, Modelling and control of Zigbee-based wireless networked control system with both network-induced delay and packet dropout, International Journal of Systems Science, Vol. 44, No. 6, pp. 1160–1172, 2013.MathSciNetCrossRefzbMATHGoogle Scholar
  8. 8.
    C. Hua, C. Ye and X. Guan, Quantized guaranteed cost control for wireless networked control system. In Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference. IEEE, Shanghai, China, pages 2028–2033, 2009.Google Scholar
  9. 9.
    S. X. Ding, P. Zhang, S. Yin and E. L. Ding, An integrated design framework of fault-tolerant wireless networked control systems for industrial automatic control applications, IEEE Transactions on Industrial Informatics, Vol. 9, No. 1, pp. 462–471, 2012.CrossRefGoogle Scholar
  10. 10.
    S. Hirche, P. Hinterseer, E. Steinbach and M. Buss, Towards deadband control in networked teleoperation systems, Proceedings IFAC World Congress, International Federation of Automatic Control. Czech Republic: International Federation of Automatic Control, Vol. 38, No. 1, pp. 70–75, 2005.Google Scholar
  11. 11.
    C. Peng and T. C. Yang, Communication-delay distribution-dependent networked control for a class of T–S fuzzy systems, IEEE Transactions on Fuzzy Systems, Vol. 18, No. 2, pp. 326–335, 2010.Google Scholar
  12. 12.
    P. Martí, A. Camacho, M. Velasco and M. E. M. B. Gaid, Runtime allocation of optional control jobs to a set of CAN-based networked control systems, IEEE Transactions on Industrial Informatics, Vol. 6, No. 4, pp. 503–520, 2010.CrossRefGoogle Scholar
  13. 13.
    S. L. Dai, H. Lin and S. S. Ge, Scheduling-and-control codesign for a collection of networked control systems with uncertain delays, IEEE Transactions on Control Systems Technology, Vol. 18, No. 1, pp. 66–78, 2009.CrossRefGoogle Scholar
  14. 14.
    D. S. Kim, D. H. Choi and P. Mohapatra, Real-time scheduling method for networked discrete control systems, Control Engineering Practice, Vol. 17, No. 5, pp. 564–570, 2009.CrossRefGoogle Scholar
  15. 15.
    M. Tabbara and D. Nesic, Input–output stability of networked control systems with stochastic protocols and channels, IEEE Transactions on Automatic Control, Vol. 53, No. 5, pp. 1160–1175, 2008.MathSciNetCrossRefzbMATHGoogle Scholar
  16. 16.
    P. G. Otanez, J. R. Moyne and D. M. Tilbury, Using deadbands to reduce communication in networked control systems. In American Control Conference, Proceedings of the IEEE, pages 3015–3020, 2002.Google Scholar
  17. 17.
    J. D. Wang and Y. U. Jin-Shou, An enhanced deadband feedback scheduling approach in networked control system, Journal of East China University of Science and Technology (Natural Science Edition), Vol. 34, No. 4, pp. 579–583, 2008.Google Scholar
  18. 18.
    X. M. Tang and J. S. Yu, A novel feedback scheduling approach for resource-constrained network control system. In Fourth International Conference on Networked Computing and Advanced Information Management, 2008. NCM’08. IEEE, pages 73–78, 2008.Google Scholar
  19. 19.
    L. J. Deng, K. D. Zhang and H. Q. Lu, The study of dynamic dead band feedback scheduling in networked control systems, Microcomputer Information, Vol. 25, No. 18, pp. 128–139, 2009.Google Scholar
  20. 20.
    X. Y. Zhang, The improvement and optimization of a deadband scheduling method, Hainan University, 2013.Google Scholar
  21. 21.
    Y. B. Zhao, G. P. Liu and D. Rees, Packet-based deadband control for internet-based networked control systems, IEEE Transactions on Control Systems Technology, Vol. 18, No. 5, pp. 1057–1067, 2010.CrossRefGoogle Scholar
  22. 22.
    F. Du, X. Zhang, Z. Lei, J. Ren and C. Guo, A new dynamic scheduling method for networked control systems, Lecture Notes in Electrical Engineering, Vol. 208, pp. 191–198, 2013.CrossRefGoogle Scholar
  23. 23.
    X. Zhang, Z. Gao and Q. Chen, Controller design for networked control systems based on mixed deadband scheduling policy, Journal of Nanjing University of Science and Technology, Vol. 37, No. 2, pp. 291–298, 2013.Google Scholar
  24. 24.
    W. Zhang, M. S. Branicky and S. M. Phillips, Stability of networked control systems, IEEE Control Systems, Vol. 21, No. 1, pp. 84–99, 2001.CrossRefGoogle Scholar
  25. 25.
    M. D. Cacho, E. Delgado and A. Barreiro, Internet adaptive deadband for NCS and teleoperation, 2010 18th Mediterranean Conference on Control and Automation (MED). IEEE, pages 505–510, 2010.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Information Science and TechnologyHainan UniversityHaikouChina
  2. 2.Zhuzhou Local Taxation Bureau, Hunan ProvinceZhuzhouChina

Personalised recommendations