Conceptual Framework for Internet of Things Virtualization via OpenFlow in Context-aware Networks
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.
Keywords: : Context aware networks, Flow-sensor, Infrastructure as a Service, Internet of Things, Open-Flow, Virtualization
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ABOUT THE AUTHOR
Rahim Rahmani
Dr. Rahim Rahmani is an Associate Professor of Computer Science and system science in University of Stockholm from 2012, focusing on QoS and optimization for management of cloud computing infrastructure and wireless sensor networks, such as OpenFlow. He earned a technical doctorate in adaptive Active Queue Management (AQM) algorithms for access routers in heterogeneous networks. He has served as reviewer and in technical committees of international conferences. He is a member of the editorial board of International Journal of Wireless Networking and Communications.
Rahim Rahmani
Dr. Rahim Rahmani is an Associate Professor of Computer Science and system science in University of Stockholm from 2012, focusing on QoS and optimization for management of cloud computing infrastructure and wireless sensor networks, such as OpenFlow. He earned a technical doctorate in adaptive Active Queue Management (AQM) algorithms for access routers in heterogeneous networks. He has served as reviewer and in technical committees of international conferences. He is a member of the editorial board of International Journal of Wireless Networking and Communications.
