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Enhancing the inter...
Enhancing the internet of things with knowledge-driven software-defined networking technology : Future perspectives
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- Li, Yuhong (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Beijing University of Posts and Telecommunications, China
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- Su, Xiang (author)
- Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland. Center for Ubiquitous Computing, University of Oulu, FI-90014 Oulu, Finland
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- Ding, Aaron Yi (author)
- Department Engineering Systems and Services, Delft University of Technology, 2628BX Delft, The Netherlands
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- Lindgren, Anders, 1978- (author)
- Luleå tekniska universitet,RISE,Industriella system,Luleå University of Technology, Sweden,Datavetenskap,RISE Research Institutes of Sweden, 16440 Kista, Sweden
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- Liu, Xiaoli (author)
- Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland
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- Prehofer, Christian (author)
- DENSO Automotive Germany GmbH, 85386 Eching, Germany. Department of Informatics, Technical University of Munich, 80333 München, Germany
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- Riekki, Jukka P. (author)
- Center for Ubiquitous Computing, University of Oulu, FI-90014 Oulu, Finland
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- Rahmani, Rahim (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Tarkoma, Sasu (author)
- Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland
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- Hui, Pan (author)
- Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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(creator_code:org_t)
- 2020-06-19
- 2020
- English.
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In: Sensors. - : MDPI AG. - 1424-8220. ; 20:12, s. 1-20
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Abstract
Subject headings
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- The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Keyword
- Internet of Things (IoT)
- IoT-proxy
- Knowledge-driving networking
- Software-defined Networking (SDN)
- Application programs
- Computer systems programming
- Information management
- Network architecture
- Software defined networking
- Control and management
- Future perspectives
- Intelligent Services
- Internet of thing (IOT)
- Large amounts of data
- Network management and control
- Service provisioning
- Software defined networking (SDN)
- Internet of things
- intelligence
- review
- software
- Pervasive Mobile Computing
- Computer and Systems Sciences
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Li, Yuhong
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Su, Xiang
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Ding, Aaron Yi
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Lindgren, Anders ...
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Liu, Xiaoli
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Prehofer, Christ ...
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Riekki, Jukka P.
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Rahmani, Rahim
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Tarkoma, Sasu
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Hui, Pan
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Media and Commun ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Enginee ...
- Articles in the publication
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Sensors
- By the university
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RISE
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Luleå University of Technology
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Stockholm University