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Conceptual Framework for Internet of Things’ Virtualization via OpenFlow in Context-aware Networks
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2013 (English)In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 10, no 6, 16-27 p.Article in journal (Refereed) Published
Abstract [en]

A novel conceptual framework is presented in this paper with an aim to standardize and virtualize Internet of Things’ (IoT) infrastructure through deploying OpenFlow technology. The framework can receive e-services based on context information leaving the current infrastructure unchanged. This framework allows the active collaboration of heterogeneous devices and protocols. Moreover it is capable to model placement of physical objects, manage the system and to collect information for services deployed on an IoT infrastructure. Our proposed IoT virtualization is applicable to a random topology scenario which makes it possible to 1) share flow-sensors’ resources, 2) establish multi-operational sensor networks, and 3) extend reachability within the framework without establishing any further physical networks. Flow-sensors achieve better results comparable to the typi-cal-sensors with respect to packet generation, reacha-bility, simulation time, throughput, energy consump-tion point of view. Even better results are possible through utilizing multicast groups in large scale net-works.

Place, publisher, year, edition, pages
2013. Vol. 10, no 6, 16-27 p.
Keyword [en]
Context aware networks, Flow-sensor, Infrastructure as a Service, Internet of Things, OpenFlow, Virtualization
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-97715OAI: oai:DiVA.org:su-97715DiVA: diva2:679945
Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2017-12-06Bibliographically approved

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