Software Defined Networking for Improved Wireless Sensor Network Management: A Survey
Open accessAbstract
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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Scalability is a key challenge in large scale 5G-IoT due to diversity of devices and their states management.
“Scalability and network management, in large scale 5G-IoT, the scalability is a key challenge due to the diversity of devices and their states management (Ndiaye et al., 2017;Modieginyane et al., 2018).”
From Future Industry Internet of Things with Zero-trust Security (2024) · cites this paper as Ndiaye et al., 2017
The Introduction and §2 (WSN Management; page unavailable) describe managing large-scale wireless sensor networks as challenging and identify scalability as a design criterion. They do not establish the more specific claim about 5G-IoT or attribute the scalability challenge to device diversity and management of device states. (LLM, conf=0.86)
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- Authors
- Ndiaye, M., Hancke, G., & Abu-Mahfouz, A.
- Affiliations
- University of Pretoria (ZA)
- City University of Hong Kong (HK)
- Council for Scientific and Industrial Research (ZA)
- Corresponding author
- Ndiaye, Musa
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-05-04
- Volume
- 17
- Issue
- 5
- Pages
- 1031
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC5469636
- OpenAlex
- W2610375170
- Cited by
- 207
- References
- 130
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 9 · 2023: 20 · 2022: 22 · 2021: 40 · 2020: 36 · 2019: 28 · 2018: 24 · 2017: 15
- FWCI
- 29.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CityU Scholars (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UpSpace Institutional Repository (University of Pretoria) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
- Keywords
- software-defined networking, wireless sensor networks, Internet of Things, centralized control, resource constraints, network configuration, smart grid, smart agriculture, smart healthcare
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