His primary areas of study are Distributed computing, Efficient energy use, Computer network, Resource allocation and Edge computing. His studies deal with areas such as Assignment problem, Network delay and Task analysis as well as Distributed computing. His Efficient energy use research is multidisciplinary, incorporating perspectives in Energy consumption and Optimization problem.
His Computer network research is multidisciplinary, incorporating elements of Wireless, Enhanced Data Rates for GSM Evolution, Mobile wireless sensor network, Key and Big data. His study in Resource allocation is interdisciplinary in nature, drawing from both Underlay, Cellular network, User equipment and Energy management. Zhenyu Zhou focuses mostly in the field of Edge computing, narrowing it down to topics relating to Server and, in certain cases, Reliability.
Zhenyu Zhou mainly focuses on Computer network, Distributed computing, Efficient energy use, Resource allocation and Mathematical optimization. His Computer network research includes elements of Wireless and Enhanced Data Rates for GSM Evolution. Zhenyu Zhou has included themes like Reliability, Task, Task analysis, Edge computing and Server in his Distributed computing study.
His Efficient energy use study combines topics in areas such as Energy consumption, Optimization problem, Power control and Energy harvesting. In his study, Energy management is strongly linked to Smart grid, which falls under the umbrella field of Optimization problem. His work carried out in the field of Resource allocation brings together such families of science as Cellular network, Communication channel, Fractional programming, Blossom algorithm and Underlay.
Distributed computing, Efficient energy use, Task, Edge computing and Reliability are his primary areas of study. His work deals with themes such as Resource, Resource allocation, Enhanced Data Rates for GSM Evolution and Server, which intersect with Distributed computing. The Server study combines topics in areas such as Task analysis and Base station.
In his research on the topic of Efficient energy use, Energy management is strongly related with Machine to machine. His Edge computing research integrates issues from Computer network and Blockchain. His Reliability study combines topics from a wide range of disciplines, such as Quality of service, Quality of experience, Latency and Communication channel.
His primary areas of investigation include Distributed computing, Edge computing, Server, Task and Reliability. His Edge computing research focuses on Blockchain and how it relates to Smart grid, Optimization problem, Cyber-physical system and Vehicle-to-grid. His research integrates issues of Computer security, Resource allocation, Task analysis and Base station in his study of Server.
His research integrates issues of Energy consumption, Computational intelligence, Shared resource and Efficient energy use in his study of Task analysis. His research in Base station intersects with topics in Heterogeneous network and Frequency allocation. The study incorporates disciplines such as Computer network, Queueing theory, Queuing delay, Subjective logic and Throughput in addition to Task.
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Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks
Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Guojun Wang.
IEEE Internet of Things Journal (2016)
Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks
Zhenyu Zhou;Kaoru Ota;Mianxiong Dong;Chen Xu.
IEEE Transactions on Vehicular Technology (2017)
Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing
Zhenyu Zhou;Haijun Liao;Bo Gu;Kazi Mohammed Saidul Huq.
IEEE Network (2018)
Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications
Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Jun Wu.
IEEE Wireless Communications Letters (2014)
When Internet of Things Meets Blockchain: Challenges in Distributed Consensus
Bin Cao;Yixin Li;Lei Zhang;Long Zhang.
IEEE Network (2019)
Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach
Zhenyu Zhou;Pengju Liu;Junhao Feng;Yan Zhang.
IEEE Transactions on Vehicular Technology (2019)
Social Big-Data-Based Content Dissemination in Internet of Vehicles
Zhenyu Zhou;Caixia Gao;Chen Xu;Yan Zhang.
IEEE Transactions on Industrial Informatics (2018)
When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning
Zhenyu Zhou;Junhao Feng;Bo Gu;Bo Ai.
IEEE Transactions on Communications (2018)
Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing
Zhenyu Zhou;Bingchen Wang;Mianxiong Dong;Kaoru Ota.
IEEE Transactions on Systems, Man, and Cybernetics (2020)
Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT
Haijun Liao;Zhenyu Zhou;Xiongwen Zhao;Lei Zhang.
IEEE Internet of Things Journal (2020)
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