R
Rongbo Zhu
Researcher at South Central University for Nationalities
Publications - 85
Citations - 1158
Rongbo Zhu is an academic researcher from South Central University for Nationalities. The author has contributed to research in topics: Wireless sensor network & Throughput. The author has an hindex of 19, co-authored 79 publications receiving 930 citations. Previous affiliations of Rongbo Zhu include Shanghai Jiao Tong University & Central University, India.
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Congestion prediction for smart sustainable cities using IoT and machine learning approaches
TL;DR: Long short-term memory networks are introduced for the prediction of congestion propagation across a road network and may form a key component of future traffic modelling approaches for smart and sustainable cities around the world.
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ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT
TL;DR: The proposed energy-efficient reliable DT (ERDT) scheme is proposed to enhance CSS in industrial IoT, which considers both packet error and packet loss, and can increase correct decision probability and reduce energy consumption for CSS under three different cases.
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Robotic Automated External Defibrillator Ambulance for Emergency Medical Service in Smart Cities
Hooman Samani,Rongbo Zhu +1 more
TL;DR: The ambulance robot is designed and developed, which brings along an AED in a sudden event of cardiac arrest and facilitates various modes of operation from manual to autonomous functioning to save someones lives in smart cities.
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A Differentially Private Unscented Kalman Filter for Streaming Data in IoT
Jun Wang,Rongbo Zhu,Shubo Liu +2 more
TL;DR: An unscented Kalman filter based differentially private steaming data share scheme is proposed to protect user privacy for cloud platform in IoT and improve the utility of released data simultaneously.
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Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks
TL;DR: A DSA algorithm based on game theory is proposed, which jointly performs spectrum leasing and interference mitigation among SUs and enables SUs to efficiently utilize the licensed spectrum shared with PUs in a dynamic environment while maximizing the spectrum utilization.