2017 - ACM Distinguished Member
2015 - IEEE Fellow For contributions to distributed computing in mobile wireless networks
His main research concerns Computer network, Distributed computing, Wireless sensor network, Real-time computing and Mobile computing. The concepts of his Computer network study are interwoven with issues in Wireless ad hoc network, Vehicular ad hoc network, The Internet and Wireless network. His studies in Distributed computing integrate themes in fields like Mobile ad hoc network, Scalability and Cloud computing, Mobile cloud computing.
His biological study spans a wide range of topics, including Sensor node, Key distribution in wireless sensor networks, Simulation and Wireless. His Key distribution in wireless sensor networks research integrates issues from SIMPLE and Cluster analysis. His Real-time computing study also includes fields such as
His scientific interests lie mostly in Computer network, Distributed computing, Wireless sensor network, Mobile computing and Real-time computing. Jiannong Cao combines subjects such as Wireless, Wireless ad hoc network and Wireless network with his study of Computer network. His Distributed computing research is multidisciplinary, incorporating perspectives in Scalability and Scheduling.
His Wireless sensor network research is multidisciplinary, relying on both Event, Sensor node, Key distribution in wireless sensor networks and Node. His work carried out in the field of Mobile computing brings together such families of science as The Internet and Mobile search. His study in Protocol Independent Multicast is interdisciplinary in nature, drawing from both IP multicast and Inter-domain.
Artificial intelligence, Computer network, Distributed computing, Cloud computing and Machine learning are his primary areas of study. His Artificial intelligence research includes themes of Structure and Pattern recognition. As part of one scientific family, Jiannong Cao deals mainly with the area of Computer network, narrowing it down to issues related to the Wireless, and often Communication channel.
His Distributed computing research incorporates elements of Scheduling and Task analysis. His Cloud computing study combines topics from a wide range of disciplines, such as Wireless sensor network, Enhanced Data Rates for GSM Evolution and Computation. In the field of Machine learning, his study on Dropout and Feature overlaps with subjects such as Popularity.
Jiannong Cao mostly deals with Artificial intelligence, Wireless, Cloud computing, Deep learning and Machine learning. His Artificial intelligence research incorporates themes from Margin, Structure, Key and Pattern recognition. His Wireless research includes elements of Computer network, Communication channel, Data collection and Similarity.
His work on Next Generation Mobile Networks as part of his general Computer network study is frequently connected to Healthcare data, thereby bridging the divide between different branches of science. Jiannong Cao has included themes like Distributed computing, Wireless sensor network, Critical infrastructure, Event monitoring and Scheduling in his Cloud computing study. Jiannong Cao has researched Wireless sensor network in several fields, including Testbed, Human dynamics, Signal and Upload.
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.
A framework for partitioning and execution of data stream applications in mobile cloud computing
Lei Yang;Jiannong Cao;Yin Yuan;Tao Li.
international conference on cloud computing (2012)
A dynamic user authentication scheme for wireless sensor networks
K.H.M. Wong;Yuan Zheng;Jiannong Cao;Shengwei Wang.
sensor networks ubiquitous and trustworthy computing (2006)
Middleware for Wireless Sensor Networks: A Survey
Miao Miao Wang;Miao Miao Wang;Jiannong Cao;Jing Li;Sajal K. Dasi.
Journal of Computer Science and Technology (2008)
An energy-aware routing protocol in wireless sensor networks
Ming Liu;Jiannong Cao;Guihai Chen;Xiaomin Wang.
Sensors (2009)
Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks
Mike Jia;Jiannong Cao;Weifa Liang.
IEEE Transactions on Cloud Computing (2017)
An Intelligent Car Park Management System based on Wireless Sensor Networks
V.W.S. Tang;Yuan Zheng;Jiannong Cao.
international symposium on pervasive computing and applications (2006)
Non-Invasive Detection of Moving and Stationary Human With WiFi
Chenshu Wu;Zheng Yang;Zimu Zhou;Xuefeng Liu.
IEEE Journal on Selected Areas in Communications (2015)
Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems
Zhi-Hui Zhan;Jingjing Li;Jiannong Cao;Jun Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2013)
Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System
Binbin Zhou;Jiannong Cao;Xiaoqin Zeng;Hejun Wu.
vehicular technology conference (2010)
Deploying Wireless Sensor Networks with Fault-Tolerance for Structural Health Monitoring
Zakirul Alam Bhuiyan;Guojun Wang;Jiannong Cao;Jie Wu.
IEEE Transactions on Computers (2015)
Profile was last updated on December 6th, 2021.
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