Impact of Software Defined Networking for Wireless Sensor Networks

International Journal of Computer Science and Engineering
© 2019 by SSRG - IJCSE Journal
Volume 6 Issue 4
Year of Publication : 2019
Authors : Nidhi Dandotiya, Abhinandan Singh Dandotiya, Dr. Shashikant Gupta

How to Cite?

Nidhi Dandotiya, Abhinandan Singh Dandotiya, Dr. Shashikant Gupta, "Impact of Software Defined Networking for Wireless Sensor Networks," SSRG International Journal of Computer Science and Engineering , vol. 6,  no. 4, pp. 6-10, 2019. Crossref,


The 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). While keeping the control logic away from the low-powered nodes, the WSNs can resolve their major issues of resource under utilization and counter-productivity. This paper highlights the concept of Software-Defined Wireless Sensor Networks SD-WSN and the base station architecture for WSN based on SDN with a review of benefits of this technology. 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.


SDWSN, SD frame work , Data Center, cloud services.


[1] EACP: Energy Aware Clustering Protocol for system Optimization in Heterogeneous Sensor NetworkShashi Kant Gupta and Dr. Saurabh Shrivastva SPC 2013, LNCS pp. 149–158, 2013
[2] J. Zhu and Papavassiliou , “ On the energy efficient organization and lifetime of multi-hop sensor networks” IEEE Comm. Letters. Vol. 7, No. 11, pp. 537- 539, Nov. 2003.
[3] Handy, M.J., M. Haase and D. Timmermann, 2002. “Low energy adaptive clustering hierarchy with deterministic cluster-head selection”. Proceedings of the 4th International Workshop on Mobile and Wireless Communications Network, September 9-11, 2002Stockholm, Sweden, pp: 368-372.
[4] S. D. Muruganathan, D. C. F. Ma, R. I. Bhasin and A. Fapojuwo, "A centralized energy efficient routing protocol for wireless sensor networks," IEEE Comm. Mag., vol.43, pp. 8-13, 2005.
[5] R. Soua and P. Minet, "A survey on energy efficient techniques in wireless sensor networks,"WMNC, 2011 pp. 1-9, Oct. 2011.
[6] T. Luo, H.-P. Tan, and T. Quek, "Sensor Ope a Slavica Tomovi*, Milutin Radonji , Milica Pejanovic-Djurisic , Igor Radusinovic Software-defined wireless sensor networks: opportunities and challenges. ETF Journal of Electrical Engineering, Vol. 21, No. 1, December 2015.