Software Defined Networking for Wireless Sensor Networks: A Survey
Advances in Wireless Communications and Networks
Volume 3, Issue 2, March 2017, Pages: 10-22
Received: Apr. 24, 2017; Accepted: May 11, 2017; Published: May 28, 2017
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Authors
Muhammad Ali Hassan, School of Science and Technology, Middlesex University, London, United Kingdom
Quoc-Tuan Vien, School of Science and Technology, Middlesex University, London, United Kingdom
Mahdi Aiash, School of Science and Technology, Middlesex University, London, United Kingdom
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Abstract
One main feature of Software Defined Networking (SDN) is the basic principle of decoupling a device’s control plane from its data plane. This simplifies network management and gives network administrators a remarkable control over the network elements. As the control plane for each device within the network is now implemented on a separate controller, this reliefs individual devices from the overhead caused by complex routing. Specifically, this feature has been shown to be extremely beneficial in the case of resource-constrained Wireless Sensor Networks (WSNs). By keeping the control logic away from the low-powered nodes, the WSNs can resolve their major issues of resource underutilisation and counter-productivity. This paper highlights the importance of adopting the SDN in the WSNs as a relatively new networking paradigm. This is introduced through a comprehensive survey on relevant networking paradigms and protocols supported by a critical evaluation of the advantages and disadvantages of these mechanisms. Furthermore, open research issues and challenges are pointed out shedding a light on future innovations in this field.
Keywords
Software Defined Networking (SDN), Wireless Sensor Network (WSN), OpenDaylight, OpenFlow, Virtualised WSN
To cite this article
Muhammad Ali Hassan, Quoc-Tuan Vien, Mahdi Aiash, Software Defined Networking for Wireless Sensor Networks: A Survey, Advances in Wireless Communications and Networks. Vol. 3, No. 2, 2017, pp. 10-22. doi: 10.11648/j.awcn.20170302.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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