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Xianghui Cao
Researcher at Southeast University
Publications - 141
Citations - 3022
Xianghui Cao is an academic researcher from Southeast University. The author has contributed to research in topics: Wireless network & Wireless sensor network. The author has an hindex of 28, co-authored 128 publications receiving 2597 citations. Previous affiliations of Xianghui Cao include Zhejiang University & Illinois Institute of Technology.
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Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks
TL;DR: This paper proposes and evaluates a new distributed estimation and collaborative control scheme for industrial control systems with WSANs and shows that the proposed method effectively achieves control objectives and maintains robust against inaccurate system parameters.
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Building-Environment Control With Wireless Sensor and Actuator Networks: Centralized Versus Distributed
TL;DR: This paper develops a CC scheme in which control decisions are made based on global information and a DC scheme which enables distributed actuators to make control decisions locally and proposes a method for reducing packet-loss rate.
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Design of a Scalable Hybrid MAC Protocol for Heterogeneous M2M Networks
TL;DR: A scalable hybrid MAC protocol, which consists of a contention period and a transmission period, is designed for heterogeneous M2M networks and analytical and simulation results demonstrate the effectiveness of the proposed hybridMAC protocol.
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Development of an integrated wireless sensor network micro-environmental monitoring system
TL;DR: A new system is designed in detail to perform micro-environmental monitoring taking the advantages of the WSN, and the system platform for data acquisition, validation, processing and visualization is systematically presented.
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Sensing-Performance Tradeoff in Cognitive Radio Enabled Smart Grid
TL;DR: Cognitive radio is introduced into the smart grid to improve the communication quality by means of spectrum sensing and channel switching and it is proved that there exists a unique optimal sensing time which yields the maximum tradeoff revenue.