TR2020-002

Efficient Holistic Control: Self-Awareness across Controllers and Wireless Networks


    •  Ma, Y., Lu, C., Wang, Y., "Efficient Holistic Control: Self-Awareness across Controllers and Wireless Networks", ACM Transactions on Cyber-Physical Systems, DOI: https://doi.org/10.1145/3371500, Vol. 4, No. 4, pp. 41:1-27, January 2020.
      BibTeX TR2020-002 PDF
      • @article{Ma2020jan,
      • author = {Ma, Yehan and Lu, Chenyang and Wang, Yebin},
      • title = {Efficient Holistic Control: Self-Awareness across Controllers and Wireless Networks},
      • journal = {ACM Transactions on Cyber-Physical Systems},
      • year = 2020,
      • volume = 4,
      • number = 4,
      • pages = {41:1--27},
      • month = jan,
      • doi = {https://doi.org/10.1145/3371500},
      • url = {https://www.merl.com/publications/TR2020-002}
      • }
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  • Research Areas:

    Communications, Control

Process automation is embracing wireless sensor-actuator networks (WSANs) in the era of Industrial Internet. Despite the success of WSANs for monitoring applications, feedback control poses significant challenges due to data loss and stringent energy constraints in WSANs. Holistic control adopts a cyber-physical system approach to overcome the challenges by orchestrating network reconfiguration and process control at run time. Fundamentally, holistic control leverages self-awareness across control and wireless boundaries to enhance the resiliency of wireless control systems. In this article, we explore efficient holistic control designs to maintain control performance while reducing the communication cost. The contributions of this work are five-fold: (1) We introduce a holistic control architecture that integrates low-power wireless bus (LWB) and two control strategies, rate adaptation and self-triggered control, specifically proposed to reduce communication cost; (2) We present two online rate selection approaches, namely, heuristic and optimal rate selections; (3) We design novel wireless network mechanisms to support rate adaptation and self-triggered control, respectively, in a multi-hop WSAN; (4) We build a real-time network-in-the-loop simulator that integrates MATLAB/Simulink and a three-floor WSAN testbed to evaluate wireless control systems; (5) We empirically explore the tradeoff between communication cost and control performance under alternative holistic control approaches. Our case studies show that rate adaptation and self-triggered control offer advantages in control performance and energy efficiency, respectively, in normal operating conditions. The advantage in energy efficiency of self-triggered control, however, may diminish under harsh physical and wireless conditions due to the cost of recovering
from data loss and physical disturbances.