C
Chunsheng Zhu
Researcher at Southern University of Science and Technology
Publications - 178
Citations - 5360
Chunsheng Zhu is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Cloud computing. The author has an hindex of 33, co-authored 170 publications receiving 3981 citations. Previous affiliations of Chunsheng Zhu include University of British Columbia & Zhengzhou University.
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Journal ArticleDOI
Releasing Network Isolation Problem in Group-Based Industrial Wireless Sensor Networks
TL;DR: Simulation and experimental results show that the network lifetime of ATR-Connected-Neighborhood-based WSNs increases by 19%, on average, and the maximum increment is 41%, and four important insights were discovered through this research work and presented in this paper.
Journal ArticleDOI
Guest Editorial: Special Section on Integration of Big Data and Artificial Intelligence for Internet of Things
TL;DR: Observations indicate that the integration of big data and artificial intelligence for IoT is a good propellant to improve the data transmission and processing in IoT, since big data technology could effectively handle various data while AI technology could further facilitate capturing and structuring big data.
Proceedings ArticleDOI
Trust assistance in Sensor-Cloud
TL;DR: It is shown that the TASC can substantially improve the throughput and response time for users to obtain sensory data from the cloud, compared with SC without trust assistance (SCWTA).
Journal ArticleDOI
Freshness-Aware Seed Selection for Offloading Cellular Traffic Through Opportunistic Mobile Networks
TL;DR: A novel freshness-aware seed selection optimization problem to find both the optimal number of initial seeds and the maximum overall content utility is defined and the results show that as expected the proposed decay-based seed selection method is superior to the proposed greedy Seed Selection method and the random Seed selection method.
Journal ArticleDOI
Towards Response Time Minimization Considering Energy Consumption in Caching Assisted Vehicular Edge Computing
TL;DR: A new mathematical model is proposed, which generalizes the computation and communication models, and applies application-oriented caching into VEC, and a new strategy is proposed to optimize the average response time of applications over an infinite time-slotted horizon for VEC.