Kaoru Ota mostly deals with Computer network, Wireless sensor network, Efficient energy use, Energy consumption and Real-time computing. His studies deal with areas such as Computer security, Cloud computing, The Internet and Vehicular ad hoc network as well as Computer network. His work investigates the relationship between Cloud computing and topics such as Mobile telephony that intersect with problems in Sense.
His work deals with themes such as Key distribution in wireless sensor networks and Access control, which intersect with Wireless sensor network. His Efficient energy use research includes elements of Distributed computing, Optimization problem and Resource allocation. The concepts of his Real-time computing study are interwoven with issues in Smart meter, Reliability and Electrical load.
Kaoru Ota spends much of his time researching Computer network, Distributed computing, Cloud computing, Wireless sensor network and Computer security. His Computer network study which covers Energy consumption that intersects with Efficient energy use. His Distributed computing research is multidisciplinary, incorporating elements of Virtual machine, Resource allocation, Encryption, Optimization problem and Big data.
The various areas that Kaoru Ota examines in his Resource allocation study include Cellular network and Mathematical optimization. The study incorporates disciplines such as Scalability, Enhanced Data Rates for GSM Evolution and Server in addition to Cloud computing. His Wireless sensor network study combines topics from a wide range of disciplines, such as Node, Key distribution in wireless sensor networks, Real-time computing and Routing protocol.
His primary scientific interests are in Distributed computing, Edge computing, Cloud computing, Computer network and Big data. Kaoru Ota has included themes like Wireless network, Software, Optimization problem and Resource allocation in his Distributed computing study. His Resource allocation research incorporates elements of Load balancing, Server and Operations research.
His Edge computing study integrates concerns from other disciplines, such as Data modeling, Mobile edge computing, Deep learning, Blockchain and Base station. In the subject of general Cloud computing, his work in Cloud computing security is often linked to Scale, thereby combining diverse domains of study. His study in the field of Network packet also crosses realms of Data collection.
His primary areas of investigation include Distributed computing, Resource allocation, Cloud computing, Virtualization and Edge computing. He undertakes multidisciplinary investigations into Distributed computing and Sleep mode in his work. His Resource allocation research is multidisciplinary, incorporating perspectives in Quality, Convergence, Wireless network, Load balancing and Server.
Kaoru Ota integrates Cloud computing with Scale in his research. His work carried out in the field of Virtualization brings together such families of science as Node, Software and Packet analyzer. His work on Edge computing is being expanded to include thematically relevant topics such as Operations research.
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.
Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing
He Li;Kaoru Ota;Mianxiong Dong.
IEEE Network (2018)
ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks
Yuxin Liu;Mianxiong Dong;Kaoru Ota;Anfeng Liu.
IEEE Transactions on Information Forensics and Security (2016)
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)
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)
Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing
Liangzhi Li;Kaoru Ota;Mianxiong Dong.
IEEE Transactions on Industrial Informatics (2018)
RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks
Mianxiong Dong;Kaoru Ota;Anfeng Liu.
IEEE Internet of Things Journal (2016)
Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing
Xiaoyi Tao;Kaoru Ota;Mianxiong Dong;Heng Qi.
IEEE Wireless Communications Letters (2017)
Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks
Jun Wu;Mianxiong Dong;Kaoru Ota;Jianhua Li.
IEEE Transactions on Network and Service Management (2018)
Joint Optimization of Lifetime and Transport Delay under Reliability Constraint Wireless Sensor Networks
Mianxiong Dong;Kaoru Ota;Anfeng Liu;Minyi Guo.
IEEE Transactions on Parallel and Distributed Systems (2016)
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