2017 - ACM Senior Member
His main research concerns Computer network, Computer security, Wireless sensor network, Distributed computing and Big data. Houbing Song specializes in Computer network, namely Network packet. His study in the fields of Authentication under the domain of Computer security overlaps with other disciplines such as Reputation.
His Wireless sensor network study integrates concerns from other disciplines, such as Wireless, Energy consumption, Real-time computing, Simulation and Efficient energy use. His biological study spans a wide range of topics, including Utility computing, Scalability, Cloud computing and Dynamic priority scheduling. Houbing Song usually deals with Big data and limits it to topics linked to World Wide Web and Data science, Tourism and Ubiquitous network.
Houbing Song spends much of his time researching Computer network, Artificial intelligence, Computer security, Distributed computing and Wireless sensor network. Houbing Song studied Computer network and Energy consumption that intersect with Efficient energy use. His research integrates issues of Machine learning, Computer vision and Pattern recognition in his study of Artificial intelligence.
Computer security connects with themes related to Cyber-physical system in his study. Within one scientific family, he focuses on topics pertaining to Cloud computing under Distributed computing, and may sometimes address concerns connected to Big data. His Wireless sensor network study incorporates themes from Node and Key distribution in wireless sensor networks.
Artificial intelligence, Computer network, Deep learning, Distributed computing and Real-time computing are his primary areas of study. His study on Artificial intelligence also encompasses disciplines like
His Energy consumption study combines topics in areas such as Scalability, Resource, Node, Cloud computing and Server. His study in Distributed computing is interdisciplinary in nature, drawing from both Relay, Throughput and Smart city. The various areas that Houbing Song examines in his Real-time computing study include Data transmission and Air traffic control.
The scientist’s investigation covers issues in Computer network, Artificial intelligence, Deep learning, Distributed computing and Data mining. The concepts of his Computer network study are interwoven with issues in Energy consumption, Information privacy and Cognitive radio. His Energy consumption study combines topics from a wide range of disciplines, such as Latency and Cloud computing.
His Artificial intelligence research includes elements of Machine learning, Task analysis and Natural language processing. His Distributed computing research is multidisciplinary, relying on both Node, Wireless ad hoc network and Cluster analysis. His study of Big data is a part of Data mining.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Internet of Things and Big Data Analytics for Smart and Connected Communities
Yunchuan Sun;Houbing Song;Antonio J. Jara;Rongfang Bie.
IEEE Access (2016)
Industrial Internet of Things: Cybermanufacturing Systems
Sabina Jeschke;Christian Brecher;Houbing Song;Danda B. Rawat.
ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks
Wenjia Li;Houbing Song.
IEEE Transactions on Intelligent Transportation Systems (2016)
Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing
Wei Wei;Xunli Fan;Houbing Song;Xiumei Fan.
IEEE Transactions on Services Computing (2018)
Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed.
IEEE Transactions on Industrial Informatics (2017)
A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing
Jianqi Liu;Jiafu Wan;Bi Zeng;Qinruo Wang.
IEEE Communications Magazine (2017)
Ubiquitous WSN for Healthcare: Recent Advances and Future Prospects
Yuan Zhang;Limin Sun;Houbing Song;Xiaojun Cao.
IEEE Internet of Things Journal (2014)
A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.
Yancong Lin;Jiachen Yang;Zhihan Lv;Wei Wei.
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)
Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications
Lo'ai A. Tawalbeh;Rashid Mehmood;Elhadj Benkhlifa;Houbing Song.
IEEE Access (2016)
Profile was last updated on December 6th, 2021.
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