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<p>Software-Defined Networking (SDN) enables dynamic network control but remains vulnerable to faults that degrade performance and availability. To address this, we propose a novel self-healing SDN framework inspired by biological resilience mechanisms. The architecture integrates immune system-inspired anomaly detection for rapid fault identification, a neural network for real-time topology reconfiguration, and a genetic algorithm for long-term evolutionary adaptation. Energy-aware recovery paths are selected to minimize power consumption during mitigation. Evaluated through Mininet OpenDaylight testbeds, the framework reduces fault recovery time by up to 30%, improves fault tolerance by 25%, enhances throughput by 20%, lowers latency by 15%, and decreases energy use by 20% compared to baseline methods. This integrated, autonomous approach advances the state of the art in resilient, efficient, and sustainable SDN management.</p>

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Adaptive and self-healing SDNs: bio-inspired intelligence for resilient, efficient, and sustainable networking

  • 期刊论文

  • 发表日期：

    2025年12月27日

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  • Soha Rawas,
  • Agariadne Dwinggo Samala

摘要

Software-Defined Networking (SDN) enables dynamic network control but remains vulnerable to faults that degrade performance and availability. To address this, we propose a novel self-healing SDN framework inspired by biological resilience mechanisms. The architecture integrates immune system-inspired anomaly detection for rapid fault identification, a neural network for real-time topology reconfiguration, and a genetic algorithm for long-term evolutionary adaptation. Energy-aware recovery paths are selected to minimize power consumption during mitigation. Evaluated through Mininet OpenDaylight testbeds, the framework reduces fault recovery time by up to 30%, improves fault tolerance by 25%, enhances throughput by 20%, lowers latency by 15%, and decreases energy use by 20% compared to baseline methods. This integrated, autonomous approach advances the state of the art in resilient, efficient, and sustainable SDN management.