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Software-Defined Networking for Internet of Things: a Survey
Computer Science and Engineering Department, Indian Institute of Technology, Kharagpur, 721302, India..
Computer Science and Engineering Department, Indian Institute of Technology, Kharagpur, 721302, India..
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
Number of Authors: 32017 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 4, no 6, p. 1994-2008Article in journal (Refereed) Published
Abstract [en]

Internet of things (IoT) facilitates billions of devices to be enabled with network connectivity to collect and exchange real-time information for providing intelligent services. Thus, IoT allows connected devices to be controlled and accessed remotely in the presence of adequate network infrastructure. Unfortunately, traditional network technologies such as enterprise networks and classic timeout-based transport protocols are not capable of handling such requirements of IoT in an efficient, scalable, seamless, and cost-effective manner. Besides, the advent of software-defined networking (SDN) introduces features that allow the network operators and users to control and access the network devices remotely, while leveraging the global view of the network. In this respect, we provide a comprehensive survey of different SDN-based technologies, which are useful to fulfill the requirements of IoT, from different networking aspects – edge, access, core, and data center networking. In these areas, the utility of SDN-based technologies is discussed, while presenting different challenges and requirements of the same in the context of IoT applications. We present a synthesized overview of the current state of IoT development. We also highlight some of the future research directions and open research issues based on the limitations of the existing SDN-based technologies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 4, no 6, p. 1994-2008
National Category
Computer and Information Sciences
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-65614DOI: 10.1109/JIOT.2017.2746186ISI: 000418174100018Scopus ID: 2-s2.0-85028734739OAI: oai:DiVA.org:ltu-65614DiVA, id: diva2:1140735
Note

Validerad;2018;Nivå 2;2018-01-11(andbra)

Available from: 2017-09-13 Created: 2017-09-13 Last updated: 2025-02-18Bibliographically approved

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Vasilakos, Athanasios

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