Enhancing IoT and Edge AI with Automated Network Engineering and Service Assurance for Scalable and Resilient Systems

Abstract

The increasing adoption of Internet of Things (IoT) and Edge Artificial Intelligence (Edge AI) demands robust network engineering solutions to ensure scalability, efficiency, and resilience. Automation in network engineering, combined with service assurance mechanisms, plays a critical role in managing dynamic and distributed infrastructures. This paper explores state-of-the-art approaches to automated network engineering and service assurance, emphasizing their application in IoT and Edge AI. A review of contemporary research highlights the role of AI-driven automation, predictive maintenance, and self-healing networks in ensuring reliable network performance. Furthermore, we present optimization strategies that enhance data flow, reduce latency, and improve security. We propose an architecture integrating AI-based network orchestration, service assurance models, and real-time optimization techniques. The study concludes with future directions and challenges in achieving highly automated, scalable, and resilient IoT-Edge AI ecosystems.