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Communication-Efficient Consensus for Networked Robotic Sensors: A Weighted Sliding Integration-Based Adaptive

Xing Gu¹, Ning Lin^2,3, Bo Li¹

¹School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Sensors (Basel, Switzerland)

|July 15, 2026

Summary

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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:

Keywords:

adaptive dynamic event-triggered control networked robotic sensors weighted sliding integration

Related Experiment Videos

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.