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Sensor scheduling for relay-assisted wireless control systems with limited power resources.

Yao Li1, Cailian Chen1, Shanying Zhu1

  • 1Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 800 Dongchuan Road, Shanghai, PR China.

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This study introduces new transmission scheduling algorithms for wireless control systems (WCSs) with limited power. Online scheduling schemes outperform offline methods for better control performance and efficient power usage.

Keywords:
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Area of Science:

  • Control Engineering
  • Wireless Communication Systems
  • Resource Management

Background:

  • Wireless control systems (WCSs) face challenges with limited power resources.
  • Existing research often overlooks practical aspects like relay introduction for remote control.
  • Efficient transmission scheduling is crucial for optimal WCS performance.

Purpose of the Study:

  • To investigate transmission scheduling for power-limited WCSs with a relay.
  • To develop optimal offline and online scheduling algorithms.
  • To theoretically and empirically demonstrate the advantages of online scheduling.

Main Methods:

  • Proposed a global optimal offline scheduling algorithm for discrete-time linear processes.
  • Designed two online scheduling schemes using an ACK-feedback framework.
  • Conducted theoretical analysis and simulations to validate algorithms.

Main Results:

  • The proposed offline algorithm aims for optimal control performance.
  • Online scheduling schemes were developed considering power constraints.
  • Theoretical proofs show online scheduling superiority over offline methods under equal energy budgets.
  • Simulations confirmed the effectiveness of all proposed algorithms.

Conclusions:

  • The developed algorithms effectively address transmission scheduling in power-limited WCSs.
  • Online scheduling schemes offer superior performance compared to offline methods within the same energy constraints.
  • The findings contribute to more efficient and practical wireless control system designs.