activity
20242026
most citedWireless Human-Machine Collaboration in Industry 5.0

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Control Data Scheduling over Shared Communication Channels: A Sparse and Collision-Free Mechanism

Yuxing Zhong, Zhaohua Yang, Fuhai Nan +2

In systems where controllers operate remotely and communicate with actuators over shared communication channels, it is crucial to efficiently schedule the control data transmission…

eess.SY2025

Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency

Yuxing Zhong, Yuchi Wu, Daniel E. Quevedo +1

We address fair sensor scheduling over bandwidth-constrained communication channels. While existing literature on fair scheduling overlooks overall system efficiency, we introduce…

eess.SY2025

Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation

Yuxing Zhong, Yuzhe Li, Daniel E. Quevedo +1

This paper considers the optimal power allocation of a jamming attacker against remote state estimation. The attacker is self-sustainable and can harvest energy from the environmen…

cs.IT2024★ 2 cited

Wireless Human-Machine Collaboration in Industry 5.0

Gaoyang Pang, Wanchun Liu, Dusit Niyato +3

Wireless Human-Machine Collaboration (WHMC) represents a critical advancement for Industry 5.0, enabling seamless interaction between humans and machines across geographically dist…

cs.CR2024

Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey

Xinhao Yan, Guanzhong Zhou, Daniel E. Quevedo +3

Networked systems are increasingly the target of cyberattacks that exploit vulnerabilities within digital communications, embedded hardware, and software. Arguably, the simplest cl…