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Communication-Efficient Consensus for Networked Robotic Sensors: A Weighted Sliding Integration-Based Adaptive
1School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|July 15, 2026
Summary
This study introduces a new control strategy for networked robotic sensors that significantly cuts down communication needs. The weighted sliding integration-based adaptive dynamic event-triggered control (WSI-ADETC) method reduces data transmission by over 53% while ensuring systems reach consensus.
Area of Science:
- Robotics
- Control Systems Engineering
- Networked Systems
Background:
- Networked robotic sensors face challenges with limited bandwidth.
- Achieving consensus in these systems requires efficient communication strategies.
Purpose of the Study:
- To develop a communication-efficient control strategy for networked robotic sensors.
- To reduce communication load while maintaining consensus performance.
Main Methods:
- A weighted sliding integration-based adaptive dynamic event-triggered control (WSI-ADETC) strategy was designed.
- A bounded adaptive parameter using a nonlinear protocol was implemented.
- A weighted sliding integration-based event-triggering mechanism was proposed.
Main Results:
- The WSI-ADETC strategy significantly reduces communication frequency.
- The controller effectively eliminates Zeno behavior.
- A reduction of over 53% in the total triggering number was achieved compared to existing methods.
Conclusions:
- The proposed WSI-ADETC offers a communication-efficient solution for resource-constrained robotic sensing networks.
- The strategy ensures asymptotic consensus and avoids Zeno behavior.
- This method enhances the practicality of networked robotic systems under bandwidth limitations.
