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Software Defined Networking for Wireless Sensor Networks: A Survey

Received: 24 April 2017    Accepted: 11 May 2017    Published: 28 May 2017
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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.

Published in Advances in Wireless Communications and Networks (Volume 3, Issue 2)
DOI 10.11648/j.awcn.20170302.11
Page(s) 10-22
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Software Defined Networking (SDN), Wireless Sensor Network (WSN), OpenDaylight, OpenFlow, Virtualised WSN

References
[1] J. D. McCabe, Network Analysis, Architecture, and Design, 3rd edition, Elsevier, 2007, ISBN: 9780123704801.
[2] M. Dye, R. McDonald, and A. Rufi, Network Fundamentals, CCNA Exploration Companion Guide, 2007, ISBN: 9781587132087.
[3] Q. Zhang and L. Liu, "Workload Adaptive Shared Memory Management for High Performance Network I/O in Virtualized Cloud," in IEEE Transactions on Computers, vol. 65, no. 11, pp. 3480-3494, Nov. 2016.
[4] W. Xia, Y. Wen, C. H. Foh, D. Niyato and H. Xie, "A Survey on Software-Defined Networking," in IEEE Communications Surveys & Tutorials, vol. 17, no. 1, pp. 27-51, Firstquarter 2015.
[5] D. Kreutz, F. M. V. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky and S. Uhlig, "Software-Defined Networking: A Comprehensive Survey," in Proceedings of the IEEE, vol. 103, no. 1, pp. 14-76, Jan. 2015.
[6] T. Mizrahi and Y. Moses, "Time4: Time for SDN," in IEEE Transactions on Network and Service Management, vol. 13, no. 3, pp. 433-446, Sept. 2016.
[7] I. F. Akyildiz, Weilian Su, Y. Sankarasubramaniam and E. Cayirci, "A survey on sensor networks," in IEEE Communications Magazine, vol. 40, no. 8, pp. 102-114, Aug. 2002.
[8] Johanna, “Wireless sensor network design,” 2014. Available at: https://wirelessmeshsensornetworks.wordpress.com/tag/wireless-sensor-network-technology-and-its-application-using-vlsi/.
[9] Silicon Labs (White Paper), “The Evolution of Wireless Sensor Networks,” 2013. Available at: http://www.silabs.com/documents/public/white-papers/evolution-of-wireless-sensor-networks.pdf.
[10] D. Cooley, “Wireless Sensor Networks Evolve to Meet Mainstream Needs,” 2012. Available at: http://rtcmagazine.com/articles/view/102871.
[11] J. Tourrilhes, P. Sharma, S. Banerjee and J. Pettit, "SDN and OpenFlow Evolution: A Standards Perspective," in Computer, vol. 47, no. 11, pp. 22-29, Nov. 2014.
[12] T. D. Nadeau and K. Gray, SDN: Software Defined Networks, O'Reilly Media, 2013, ISBN: 9781449342302.
[13] S. Costanzo, L. Galluccio, G. Morabito and S. Palazzo, "Software Defined Wireless Networks: Unbridling SDNs," 2012 European Workshop on Software Defined Networking, Darmstadt, 2012, pp. 1-6.
[14] SDX Central, “Understanding the SDN architecture,” 2015. Available at: https://www.sdxcentral.com/sdn/definitions/inside-sdn-architecture/.
[15] D. Suh, S. Jang, S. Han, S. Pack, M.-S. Kim, T. Kim and C.-G. Lim, "Toward Highly Available and Scalable Software Defined Networks for Service Providers," in IEEE Communications Magazine, vol. 55, no. 4, pp. 100-107, April 2017.
[16] OpenDaylight, “OpenDaylight: Open Source SDN Platform,” 2013. Available at: https://www.opendaylight.org/.
[17] D. Ward, “OpenDaylight: Building an Open Source Community around SDN,” 2013. Available at: http://blogs.cisco.com/news/opendaylight.
[18] T. Luo, H. P. Tan and T. Q. S. Quek, "Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks," in IEEE Communications Letters, vol. 16, no. 11, pp. 1896-1899, Nov. 2012.
[19] A. De Gante, M. Aslan and A. Matrawy, "Smart wireless sensor network management based on software-defined networking," 2014 27th Biennial Symposium on Communications (QBSC), Kingston, ON, 2014, pp. 71-75.
[20] D. O’Shea, V. Cionca and D. Pesch, “The Presidium of Wireless Sensor Networks - A Software Defined Wireless Sensor Network Architecture,” in: R. Agüero, T. Zinner, M. García-Lozano, BL. Wenning, A. Timm-Giel (eds), Mobile Networks and Management, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 158. Springer, 2015.
[21] B. Trevizan de Oliveira, L. Batista Gabriel and C. Borges Margi, "TinySDN: Enabling Multiple Controllers for Software-Defined Wireless Sensor Networks," in IEEE Latin America Transactions, vol. 13, no. 11, pp. 3690-3696, Nov. 2015.
[22] K. Slavov, D. Migault and M. Pourzandi, “Identifying and addressing the vulnerabilities and security issues of SDN,” in Ericsson Technology Review, Vol. 92, No. 7, Aug. 2015. Available at: https://www.ericsson.com/assets/local/publications/ericsson-technology-review/docs/2015/etr-sdn-security.pdf.
[23] Y. Choi, Y. Choi and Y.-G. Hong, "Study on coupling of software-defined networking and wireless sensor networks," 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), Vienna, 2016, pp. 900-902.
[24] A. Boonsongsrikul, S. Kocijancic and S. Suppharangsan, "Effective energy consumption on wireless sensor networks: Survey and challenges," 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, 2013, pp. 469-473.
[25] A. Mahmud and R. Rahmani, "Exploitation of OpenFlow in wireless sensor networks," Proceedings of 2011 International Conference on Computer Science and Network Technology, Harbin, 2011, pp. 594-600.
[26] L. Galluccio, S. Milardo, G. Morabito and S. Palazzo, "SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks," 2015 IEEE Conference on Computer Communications (INFOCOM), Kowloon, 2015, pp. 513-521.
[27] I. Ahmad, S. Namal, M. Ylianttila and A. Gurtov, "Security in Software Defined Networks: A Survey," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2317-2346, Fourthquarter 2015.
[28] N. Bizanis and F. A. Kuipers, "SDN and Virtualization Solutions for the Internet of Things: A Survey," in IEEE Access, vol. 4, pp. 5591-5606, 2016.
Cite This Article
  • APA Style

    Muhammad Ali Hassan, Quoc-Tuan Vien, Mahdi Aiash. (2017). Software Defined Networking for Wireless Sensor Networks: A Survey. Advances in Wireless Communications and Networks, 3(2), 10-22. https://doi.org/10.11648/j.awcn.20170302.11

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    ACS Style

    Muhammad Ali Hassan; Quoc-Tuan Vien; Mahdi Aiash. Software Defined Networking for Wireless Sensor Networks: A Survey. Adv. Wirel. Commun. Netw. 2017, 3(2), 10-22. doi: 10.11648/j.awcn.20170302.11

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    AMA Style

    Muhammad Ali Hassan, Quoc-Tuan Vien, Mahdi Aiash. Software Defined Networking for Wireless Sensor Networks: A Survey. Adv Wirel Commun Netw. 2017;3(2):10-22. doi: 10.11648/j.awcn.20170302.11

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  • @article{10.11648/j.awcn.20170302.11,
      author = {Muhammad Ali Hassan and Quoc-Tuan Vien and Mahdi Aiash},
      title = {Software Defined Networking for Wireless Sensor Networks: A Survey},
      journal = {Advances in Wireless Communications and Networks},
      volume = {3},
      number = {2},
      pages = {10-22},
      doi = {10.11648/j.awcn.20170302.11},
      url = {https://doi.org/10.11648/j.awcn.20170302.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.awcn.20170302.11},
      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.},
     year = {2017}
    }
    

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    T2  - Advances in Wireless Communications and Networks
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    AB  - 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.
    VL  - 3
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Author Information
  • School of Science and Technology, Middlesex University, London, United Kingdom

  • School of Science and Technology, Middlesex University, London, United Kingdom

  • School of Science and Technology, Middlesex University, London, United Kingdom

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