Computer network, Distributed computing, Algorithm, Data mining and Throughput are his primary areas of study. The Internet is closely connected to Cognitive network in his research, which is encompassed under the umbrella topic of Computer network. His work on Distance Vector Multicast Routing Protocol, Pragmatic General Multicast and Multicast as part of general Distributed computing research is frequently linked to Energy consumption, bridging the gap between disciplines.
His studies deal with areas such as Network management and Spline interpolation, Interpolation as well as Algorithm. His Data mining research includes themes of Traffic generation model, Feature extraction and Cellular network. His study focuses on the intersection of Throughput and fields such as Wireless sensor network with connections in the field of Network packet.
Dingde Jiang mainly investigates Computer network, Distributed computing, Algorithm, Traffic generation model and Data mining. Dingde Jiang works mostly in the field of Computer network, limiting it down to topics relating to Wireless and, in certain cases, Communication channel and Mobile computing, as a part of the same area of interest. His work on Xcast, Source-specific multicast and Multicast as part of general Distributed computing study is frequently linked to Energy consumption, bridging the gap between disciplines.
The Algorithm study combines topics in areas such as Simulation, Internet traffic and Artificial intelligence. He has researched Traffic generation model in several fields, including Network traffic simulation, Anomaly detection, Traffic engineering, Network management and Compressed sensing. While the research belongs to areas of Data mining, Dingde Jiang spends his time largely on the problem of Artificial neural network, intersecting his research to questions surrounding Robustness.
His scientific interests lie mostly in Software-defined networking, Distributed computing, Computer network, Service and Edge computing. His research in Software-defined networking intersects with topics in Forwarding plane, Network topology, Computer architecture and Real-time computing. In his study, Algorithm is strongly linked to Flexibility, which falls under the umbrella field of Forwarding plane.
His Computation study in the realm of Algorithm interacts with subjects such as Dimension. His study looks at the relationship between Distributed computing and fields such as Energy, as well as how they intersect with chemical problems. Dingde Jiang integrates several fields in his works, including Computer network and Scalability.
His primary areas of investigation include Software-defined networking, Distributed computing, Big data, Service and Data modeling. The concepts of his Software-defined networking study are interwoven with issues in World Wide Web, Thesaurus, Search engine, Network measurement and Hidden Markov model. His work is dedicated to discovering how Distributed computing, Energy are connected with Distributed generation and The Internet and other disciplines.
His Big data study is focused on Data mining in general. His research integrates issues of Feature and Traffic flow in his study of Data mining. His Service research is multidisciplinary, relying on both Network architecture and Network emulation.
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Collaborative Multi-hop Routing in Cognitive Wireless Networks
Dingde Jiang;Xu Ying;Yang Han;Zhihan Lv.
Wireless Personal Communications (2016)
A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things
Jiang Zhu;Yonghui Song;Dingde Jiang;Houbing Song.
IEEE Internet of Things Journal (2018)
A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking
Dingde Jiang;Liuwei Huo;Zhihan Lv;Houbing Song.
IEEE Transactions on Intelligent Transportation Systems (2018)
A multicast delivery approach with minimum energy consumption for wireless multi-hop networks
Dingde Jiang;Zhengzheng Xu;Zhihan Lv.
Telecommunication Systems (2016)
A transform domain-based anomaly detection approach to network-wide traffic
Dingde Jiang;Zhengzheng Xu;Peng Zhang;Ting Zhu.
Journal of Network and Computer Applications (2014)
Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications
Dingde Jiang;Peng Zhang;Zhihan Lv;Houbing Song.
IEEE Internet of Things Journal (2016)
Joint time-frequency sparse estimation of large-scale network traffic
Dingde Jiang;Zhengzheng Xu;Zhenhua Chen;Yang Han.
Computer Networks (2011)
Network coding-based energy-efficient multicast routing algorithm for multi-hop wireless networks
Dingde Jiang;Zhengzheng Xu;Wenpan Li;Zhenhua Chen.
Journal of Systems and Software (2015)
A Compressive Sensing-Based Approach to End-to-End Network Traffic Reconstruction
Dingde Jiang;Wenjuan Wang;Lei Shi;Houbing Song.
IEEE Transactions on Network Science and Engineering (2020)
Fine-granularity inference and estimations to network traffic for SDN.
Dingde Jiang;Dingde Jiang;Liuwei Huo;Ya Li.
PLOS ONE (2018)
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