Abstract
IoT infrastructure makes great demands on network control methods for an efficient management of massive amounts of nodes and data. This network requires fine traffic control management to ensure an adequate QoS for data transmission process, especially in a low-cost network that covers smart territories deployed in so-called “technological lag” areas. Software-Defined Networking (SDN) enables to handle dynamically network traffic as well as flexible traffic control on real-time. However, SDN technology exhibits several issues with regard to additional processing time or loss that are associated to control plan. These factors can lead to performance degradation of the SDN control traffic flows within data plane which is not tolerated in medium/low capacity IoT environment.
This paper proposes an Enhanced Flow-based QoS Management approach, called EFQM, that reduces spent time within control plane as well as uses SDN controller either to reduce loss or to optimize bandwidth according to flows latency and bandwidth requirement. Our experimental results show that EFQM outperforms AQRA in terms of response time and packet loss rate. Furthermore, by considering a default routing and delay as metrics, EFQM improves the average end-to-end flow performance by \(7.92\%\) compared to AQRA. In addition, EFQM enhances end-to-end flow performance by \(21.23\%\) and \(23.52\%\) compared to AQRA respectively according to delay and packet loss rate. The measured EFQM runtime is \(23.29\%\) shorter than AQRA.
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Bassene, A., Gueye, B. (2021). An Enhanced Flow-Based QoS Management Within Edge Layer for SDN-Based IoT Networking. In: Zitouni, R., Phokeer, A., Chavula, J., Elmokashfi, A., Gueye, A., Benamar, N. (eds) Towards new e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-70572-5_10
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DOI: https://doi.org/10.1007/978-3-030-70572-5_10
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