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<p>The rapid growth of IoT networks presents challenges in resilience, scalability, and fault tolerance. In SDN-enabled IoT, optimal controller placement is critical for minimizing latency and ensuring reliable operations. Traditional strategies fall short in dynamic environments, prompting the need for adaptive optimization. This paper proposes the Optimized Resilient Placement Strategy (ORPS), a metaheuristic framework combining GA, PSO, and ACO to enhance fault tolerance, reduce latency, and improve scalability. ORPS ensures redundancy, minimizes controller-device communication delays, and lowers jitter. Experimental results show a 21% latency reduction, 67% lower jitter (5&#xa0;ms), an average of 2.4 backup controllers per device, and a load variance of 10.1, demonstrating its effectiveness for large-scale, dynamic SDN-enabled IoT networks.</p>

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Metaheuristic-Based Optimized and Resilient Controller Placement in SDN Enabled IoT Networks

  • 期刊论文

  • 发表日期：

    2025年11月7日

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  • Santosh Kumar,
  • Aruna Malik

摘要

The rapid growth of IoT networks presents challenges in resilience, scalability, and fault tolerance. In SDN-enabled IoT, optimal controller placement is critical for minimizing latency and ensuring reliable operations. Traditional strategies fall short in dynamic environments, prompting the need for adaptive optimization. This paper proposes the Optimized Resilient Placement Strategy (ORPS), a metaheuristic framework combining GA, PSO, and ACO to enhance fault tolerance, reduce latency, and improve scalability. ORPS ensures redundancy, minimizes controller-device communication delays, and lowers jitter. Experimental results show a 21% latency reduction, 67% lower jitter (5 ms), an average of 2.4 backup controllers per device, and a load variance of 10.1, demonstrating its effectiveness for large-scale, dynamic SDN-enabled IoT networks.