Communication-Efficient Consensus for Networked Robotic Sensors: A Weighted Sliding Integration-Based Adaptive Dynamic Event-Triggered Approach

This paper addresses the consensus problem for networked robotic sensors characterized by general linear dynamics and strict communication bandwidth limitations. We propose a weighted sliding integration-based adaptive dynamic event-triggered control (WSI-ADETC) strategy. First, we design a bounded adaptive parameter using a nonlinear protocol to enhance sensitivity to changes in consensus error. To further alleviate the communication burden on the sensing network, we propose a weighted sliding integration-based event-triggering mechanism to reduce the number of triggers compared to traditional adaptive dynamic event-triggered control (ADETC) approaches. Using Lyapunov analysis, we establish sufficient conditions for asymptotic consensus and demonstrate that the proposed controller effectively eliminates Zeno behavior. Numerical simulations demonstrate that the proposed WSI-ADETC strategy significantly reduces communication frequency while maintaining satisfactory consensus performance. Compared with recent adaptive dynamic event-triggered methods, the proposed method reduces the total triggering number by more than 53%, providing a communication efficient solution for resource-constrained robotic sensing networks.

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Publication Details

Journal
Sensors
Published
2026-06-24
DOI
https://doi.org/10.3390/s26134006
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

Communication-Efficient Consensus for Networked Robotic Sensors: A Weighted Sliding Integration-Based Adaptive Dynamic Event-Triggered Approach

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Sensors
Distributed Control Multi-Agent Systems
article

Communication-Efficient Consensus for Networked Robotic Sensors: A Weighted Sliding Integration-Based Adaptive Dynamic Event-Triggered Approach

Ning Lin, Bo Li, Xing Gu, Zhikang Zhou, Zhicheng Hou
article en

Abstract

This paper addresses the consensus problem for networked robotic sensors characterized by general linear dynamics and strict communication bandwidth limitations. We propose a weighted sliding integration-based adaptive dynamic event-triggered control (WSI-ADETC) strategy. First, we design a bounded adaptive parameter using a nonlinear protocol to enhance sensitivity to changes in consensus error. To further alleviate the communication burden on the sensing network, we propose a weighted sliding integration-based event-triggering mechanism to reduce the number of triggers compared to traditional adaptive dynamic event-triggered control (ADETC) approaches. Using Lyapunov analysis, we establish sufficient conditions for asymptotic consensus and demonstrate that the proposed controller effectively eliminates Zeno behavior. Numerical simulations demonstrate that the proposed WSI-ADETC strategy significantly reduces communication frequency while maintaining satisfactory consensus performance. Compared with recent adaptive dynamic event-triggered methods, the proposed method reduces the total triggering number by more than 53%, providing a communication efficient solution for resource-constrained robotic sensing networks.

SensorsVol. 26(13)
Yuncheng University (CN), China University of Geosciences (CN), Guangdong Polytechnic Normal University (CN)
Decent work and economic growth
Openalex Percentile: Top 5%
Distributed Control Multi-Agent Systems
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