A Context-Aware Sdn/Nfv-Enabled Communication Framework for Iot-Based Smart Grids

16 Pages Posted: 9 May 2023

See all articles by Agrippina Mwangi

Agrippina Mwangi

affiliation not provided to SSRN

Rishikesh Sahay

Oregon Institute of Technology

Elena Fumagalli

Utrecht University

Mikkel Peter Sidoroff Gryning

affiliation not provided to SSRN

Madeleine Gibescu

Utrecht University

Abstract

The proliferation of the Internet of Things (IoT) devices for Wide Area Situational Awareness (WASA) in smart grids results in a huge influx of data that may degrade the quality of service (QoS) of the communication network. As a result, it is important to design a communication framework that anticipates such high volumes of data and manages data transfer in a resource-constrained network environment without lowering its overall performance. This paper designs a context-aware communication framework that monitors its environment and adapts its behaviour to improve performance. The communication framework features: (i) energy consumption modeller, (ii) QoS orchestrator, (iii) intrusion detection module, (iv) virtual component manager, (v) fault recovery and self-reconfiguration, and (vi) programmability are built on an edge computing platform leveraging software-defined networks (SDN) and network function virtualization (NFV). Further, an operational workflow based on the features of the communication framework is developed. The Anholt offshore wind farm is used as a case study to illustrate the proposed communication network, framework, and operational workflow. This work spurs discussion on the role that innovative solutions based on IoT, SDN, and virtualization technologies will play in the upgrade of communication infrastructures in the energy sector.

Keywords: IoT, SDN/NFV, context-awareness

Suggested Citation

Mwangi, Agrippina and Sahay, Rishikesh and Fumagalli, Elena and Gryning, Mikkel Peter Sidoroff and Gibescu, Madeleine, A Context-Aware Sdn/Nfv-Enabled Communication Framework for Iot-Based Smart Grids. Available at SSRN: https://ssrn.com/abstract=4442707 or http://dx.doi.org/10.2139/ssrn.4442707

Agrippina Mwangi (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Rishikesh Sahay

Oregon Institute of Technology ( email )

Elena Fumagalli

Utrecht University ( email )

Mikkel Peter Sidoroff Gryning

affiliation not provided to SSRN ( email )

No Address Available

Madeleine Gibescu

Utrecht University ( email )

Vredenburg 138
Utrecht, 3511 BG
Netherlands

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