Wireless Software Defined Networking: A Survey and Taxonomy (PDF

Defined Wireless Sensor Networks

Sensor / May 10, 2019

Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0028, South Africa

Department of Computer Science, City University of Hong Kong, Hong Kong, China

CSIR Meraka Institute, Pretoria 0184, South Africa

Author to whom correspondence should be addressed.

Academic Editor: Kemal Akkaya

Wireless sensor networks (WSNs) are becoming increasingly popular with the advent of the Internet of things (IoT). Various real-world applications of WSNs such as in smart grids, smart farming and smart health would require a potential deployment of thousands or maybe hundreds of thousands of sensor nodes/actuators. To ensure proper working order and network efficiency of such a network of sensor nodes, an effective WSN management system has to be integrated. However, the inherent challenges of WSNs such as sensor/actuator heterogeneity, application dependency and resource constraints have led to challenges in implementing effective traditional WSN management. This difficulty in management increases as the WSN becomes larger. Software Defined Networking (SDN) provides a promising solution in flexible management WSNs by allowing the separation of the control logic from the sensor nodes/actuators. The advantage with this SDN-based management in WSNs is that it enables centralized control of the entire WSN making it simpler to deploy network-wide management protocols and applications on demand. This paper highlights some of the recent work on traditional WSN management in brief and reviews SDN-based management techniques for WSNs in greater detail while drawing attention to the advantages that SDN brings to traditional WSN management. This paper also investigates open research challenges in coming up with mechanisms for flexible and easier SDN-based WSN configuration and management.

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MDPI and ACS Style

Ndiaye, M.; Hancke, G.P.; Abu-Mahfouz, A.M. Software Defined Networking for Improved Wireless Sensor Network Management: A Survey. Sensors 2017, 17, 1031.

AMA Style

Ndiaye M, Hancke GP, Abu-Mahfouz AM. Software Defined Networking for Improved Wireless Sensor Network Management: A Survey. Sensors. 2017; 17(5):1031.

Chicago/Turabian Style

Ndiaye, Musa; Hancke, Gerhard P.; Abu-Mahfouz, Adnan M. 2017. "Software Defined Networking for Improved Wireless Sensor Network Management: A Survey." Sensors 17, no. 5: 1031.

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Source: www.mdpi.com