Author : Tanuja Zende 1
Date of Publication :26th April 2018
Abstract: Software Defined Networking brings about innovation, configuration in network computing and simplicity in network management. SDN technology is an enormous approach to cloud computing which facilitates network management and enables efficient network configuration programmatically that improves network performance and monitoring. WSN consist of nodes that interact with the environment to achieve the sensing task thereby sensing the physical parameters such as temperature, pressure, volume etc and also help control them. These nodes can perform computation, sensing, actuation and wireless communication functions, particularly with the advent of Internet of Things (IoT)that is essential for monitoring several objects in applications such as smart cities, smart water networks, smart health care, smart power grids, smart farming and intelligent transport systems etc WSNs are continuously becoming important .Traditional networks often lack flexibility that brings into effect instant changes because of the rigidity of the network. It also depicts over dependency on proprietary services. SDN separates the control plane and the data plane, therefore moving the control logic to a central controller from the node. WSN is a very good platform for Low-Rate Wireless Personal Area Networks (LR-WPAN) with minimum resources and short communication ranges. Although the scale of WSN expands it faces many challenges, namely heterogeneous-node networks and network management. The approach of SDN seeks to alleviate most of the challenges and hence foster sustainability and efficiency in WSNs. The combination of SDN and WSN gives rise to a new prototype named as Software Defined Wireless Sensor Networks (SDWSN). The SDWSN model is therefore envisioned to play a vital role in the IoT paradigm. This paper presents a review of the SDWSN literature. Also it takes care of the challenges facing this paradigm
Reference :
-
- M. Jacobsson and C. Orfanidis, “Using Softwaredefined Networking Principles for Wireless Sensor Networks,” in In: Proc. 11th Swedish National Computer Networking Workshop, 2015.
- T. Luo, H.-P. Tan, and T. Q. S. Quek, “Sensor OpenFlow: Enabling software-defined wireless sensor networks,” Commun. Lett. IEEE, vol. 16, no. 11, pp. 1896–1899, 2012
- S. Costanzo, L. Galluccio, G. Morabito, and S. Palazzo, “Software defined wireless networks: Unbridling SDNs,” Proc. - Eur. Work. Softw. Defin. Networks, EWSDN 2012, pp. 1–6, 2012.
- S. Costanzo, L. Galluccio, G. Morabito, and S. Palazzo, “Software defined wireless networks: Unbridling SDNs,” Proc. - Eur. Work. Softw. Defin. Networks, EWSDN 2012, pp. 1–6, 2012.
- Yang M, Li Y, Jin D, Su L, Zeng L. Opportunistic spectrum sharing in software defined wireless network. IEEE J Syst Eng Electron 2014; 25(6):934–41.
- Wang Z, Ye N, Wang R, Li P. TMicroscope: Behavior perception based on the slightest RFID tag motion. Elektronika ir Elektrotechnika 2016; 22(2):114–22
- Wannenburg J. Body sensor network for mobile health monitoring, a diagnosis and anticipating system. IEEE Sensors Journal 2015; 15(12):6839–52.
- Cloete NA, Nair L. Design of smart sensors for real-time water quality monitoring. IEEE Access 2016; 4:3975–90.
- I. Kovacevic, “FoRCES protocol as a solution for interaction of control and forwarding planes in distributed routers,” 17th Telecommun. forum TELFOR, pp. 53–57, 2009.
- Open Networking Foundation, “Software-Defined Networking: The New Norm for Networks [white paper],” ONF White Pap., pp. 1–12, 2012.
- I. Howitt and J. Gutierrez, “IEEE 802.15.4 low rate - wireless personal area network coexistence issues,” 2003 IEEE Wirel. Commun. Networking, 2003. WCNC 2003., vol. 3, no. C, pp. 1481–1486, 2003
- IEEE Standard, “IEEE Standard for Part 15 . 4 : Wireless Medium Access Control ( MAC ) and Physical Layer ( PHY ) Specifications for Low-Rate Wireless Personal Area Networks ( WPANs ),” IEEE Stand., pp. 1–26, 2006.