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Chengjie Wu

Researcher at Washington University in St. Louis

Publications -  20
Citations -  1007

Chengjie Wu is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Wireless sensor network & WirelessHART. The author has an hindex of 14, co-authored 19 publications receiving 882 citations. Previous affiliations of Chengjie Wu include Yahoo! & Tsinghua University.

Papers
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Journal ArticleDOI

Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems

TL;DR: A series of recent advances in real-time WSANs for industrial control systems are reviewed, with a focus on cyber-physical codesign of wireless control systems that integrate wireless and control designs.
Journal ArticleDOI

Near optimal rate selection for wireless control systems

TL;DR: This paper addresses the scheduling-control co-design problem of determining the optimal sampling rates of feedback control loops sharing a Wireless Hart network by formulate rate selection as a differentiable convex optimization problem that provides a closed-form solution through a gradient descent method.
Proceedings ArticleDOI

Incorporating emergency alarms in reliable wireless process control

TL;DR: The results demonstrate the first systematic approach to incorporate emergency alarms into wireless process control enables timely emergency handling, while allowing regular feedback control loops to effectively share resources in WSANs during normal operations.
Journal ArticleDOI

Empirical Study and Enhancements of Industrial Wireless Sensor–Actuator Network Protocols

TL;DR: A novel channel hopping algorithm is developed that utilizes far away channels for transmissions and prevents links sharing the same destination from using channels with strong correlations, and demonstrates that this algorithm can significantly improve network reliability and energy efficiency.
Proceedings ArticleDOI

Schedulability Analysis under Graph Routing in WirelessHART Networks

TL;DR: This paper presents the first worst-case end-to-end delay analysis for periodic real-time flows under reliable graph routing and can be used to quickly assess the schedulability of real- time flows with stringent requirements on both reliability and latency.