The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
IoT survey: An SDN and fog computing perspective
Abstract
Abstract Recently, there has been an increasing interest in the Internet of Things (IoT). While some analysts disvalue the IoT hype, several technology leaders, governments, and researchers are putting serious efforts to develop solutions enabling wide IoT deployment. Thus, the huge amount of generated data, the high network scale, the security and privacy concerns, the new requirements in terms of QoS, and the heterogeneity in this ubiquitous network of networks make its implementation a very challenging task. SDN, a new networking paradigm, has revealed its usefulness in reducing the management complexities in today's networks. Additionally, SDN, having a global view of the network, has presented effective security solutions. On the other hand, fog computing, a new data service platform, consists of pushing the data to the network edge reducing the cost (in terms of bandwidth consumption and high latency) of “big data” transportation through the core network. In this paper, we critically review the SDN and fog computing-based solutions to overcome the IoT main challenges, highlighting their advantages, and exposing their weaknesses. Thus, we make recommendations at the end of this paper for the upcoming research work.
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Cites
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Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
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The emergence of edge computing
Satyanarayanan, M. (2017) · Computer · doi:10.1109/mc.2017.9 · Cited by 2,832
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A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT
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Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges
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Cited by
Security analysis of drones systems: Attacks, limitations, and recommendations
Yaacoub, J.-P., Noura, H., Salman, O., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100218 · Cited by 727
Self-citationEdge-computing-driven Internet of Things: A Survey
Kong, L., Tan, J., Huang, J., Chen, G., Wang, S., Jin, X., Zeng, P., Khan, M., & Das, S. K. (2023) · ACM Computing Surveys · doi:10.1145/3555308 · Cited by 396
Iqbal, W., Abbas, H., Daneshmand, M., Rauf, B., & Bangash, Y. A. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2997651 · Cited by 356
Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach
Galeano-Brajones, J., Carmona-Murillo, J., Valenzuela-Valdés, J. F., & Luna-Valero, F. (2020) · Sensors · doi:10.3390/s20030816 · Cited by 165
LoRaWAN security survey: Issues, threats and possible mitigation techniques
Noura, H., Hatoum, T., Salman, O., Yaacoub, J.-P., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100303 · Cited by 137
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Metadata
- Authors
- Salman, O., Elhajj, I., Chehab, A., & Kayssi, A.
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 143
- Pages
- 221-246
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2885007481
- Cited by
- 190
- References
- 19
- FWCI
- 16.18
- Type
- journal article
- Language
- en
- Open access
- closed
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