Intent-Based Networking With QoS-Aware Routing in SDN Using AHP-Based AI Prioritization and Optimization

초록

The increasing heterogeneity of network services in next-generation environments requires intelligent and adaptive routing frameworks that can align with diverse and dynamic application-level service requirements. Software-defined networking (SDN) decouples the control plane from the data plane to shift the complexity from core network devices. Moreover, intent-based networking (IBN), when integrated with SDN, provides a centralized and programmable platform to translate high-level user intents into actionable network configurations. This article proposes a hybrid quality of service (QoS)-aware routing framework that combines the analytic hierarchy process (AHP) with adaptive artificial intelligence (AI) to support intent-driven decision-making in SDN. The AHP module interprets user-defined service intents into weighted QoS priorities, while the AI component dynamically refines these weights based on the network telemetry. This integration enables context-aware path selection that balances structure, adaptability, and explainability. Experimental results on real-world network topologies demonstrate that the proposed framework consistently outperforms benchmark and state-of-the-art approaches in terms of end-to-end (E2E) delay, packet loss, jitter, throughput, and intent satisfaction. Moreover, the system achieves fast re-routing convergence and maintains a low controller overhead, making it suitable for scalable, transparent, and high-performance deployment in IBN-compliant SDN infrastructures.

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