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The Internet of Things (IoT) connects a vast number of smart devices, generating massive and diverse traffic, which poses challenges in network resource management and Quality of Service (QoS). Traditional network architectures, designed for predictable traffic, struggle to meet the increasing demands of modern IoT infrastructures. Software-Defined Networking (SDN) offers a solution by separating the control plane from the data plane, enabling centralized and flexible management of IoT traffic. This approach has led to the emergence of Software-Defined IoT (SD-IoT), which optimizes QoS based on TIPHON standard. In this study, we evaluate SD-IoT performance through a simulation in Mininet using the Ryu controller, integrating three types of IoT traffic (E-health, Transportation, Industrial) into advanced topologies such as NSFNET and ARPANET. Our tests analyze key metrics, including latency, jitter, throughput, packet loss rate and CPU/RAM consumption. The results demonstrate that applying SDN to IoT networks significantly improves QoS, aligning with TIPHON standard. This study paves the way for future research on QoS-aware routing optimization and artificial intelligence for IoT traffic management.

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SD-IoT QoS Performance Analysis Using Mininet and Ryu: Toward Efficient Traffic Management

  • 会议论文

  • 发表日期：

    2026年

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  • Grif Abdelali,
  • Zyane Abdellah

摘要

The Internet of Things (IoT) connects a vast number of smart devices, generating massive and diverse traffic, which poses challenges in network resource management and Quality of Service (QoS). Traditional network architectures, designed for predictable traffic, struggle to meet the increasing demands of modern IoT infrastructures. Software-Defined Networking (SDN) offers a solution by separating the control plane from the data plane, enabling centralized and flexible management of IoT traffic. This approach has led to the emergence of Software-Defined IoT (SD-IoT), which optimizes QoS based on TIPHON standard. In this study, we evaluate SD-IoT performance through a simulation in Mininet using the Ryu controller, integrating three types of IoT traffic (E-health, Transportation, Industrial) into advanced topologies such as NSFNET and ARPANET. Our tests analyze key metrics, including latency, jitter, throughput, packet loss rate and CPU/RAM consumption. The results demonstrate that applying SDN to IoT networks significantly improves QoS, aligning with TIPHON standard. This study paves the way for future research on QoS-aware routing optimization and artificial intelligence for IoT traffic management.