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Jiming Chen

Researcher at Zhejiang University

Publications -  90
Citations -  3965

Jiming Chen is an academic researcher from Zhejiang University. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 29, co-authored 90 publications receiving 3627 citations. Previous affiliations of Jiming Chen include Zhejiang University of Technology & Illinois Institute of Technology.

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Proceedings ArticleDOI

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy

TL;DR: In this article, the authors propose an adaptive hierarchical decomposition (AHEAD) protocol, which adaptively and dynamically controls the built tree structure, so that the injected noise is well controlled for maintaining high utility.
Proceedings ArticleDOI

Distributed Collaborative Control Using Wireless Sensor and Actuator Networks

TL;DR: A novel distributed collaborative control strategy is proposed and shows good performance under system noises and communication unreliability.
Journal ArticleDOI

Real-time performance evaluation of urgent aperiodic messages in FF communication and its improvement ☆

TL;DR: An improved method of computing APTCP is proposed, and a method of determining Setting PT Circulation Period (SPTCP) is presented accordingly, and simulation validates the effect of the improved method on the real-time performance of urgent aperiodic messages in FF.
Proceedings ArticleDOI

How to improve control system performance using FF function blocks

TL;DR: This paper attempts to improve the performance based on function blocks of Foundation Fieldbus by solving the problems related to system safety with function blocks and their programming language.
Journal ArticleDOI

Localization for mobile target in wireless sensor networks

TL;DR: Results based on extensive simulation experiments show that the compensation algorithm gets better performance in metrics of quality of tracking and energy efficiency with the change of sensor sensing range, the ratio of sensing range and sensor activation range, and the data sampling rate than traditional methods, which means it can achieve better quality-energy tradeoff for mobile target in wireless sensor networks.