IoT Service

IoT service research focuses on developing efficient and reliable methods for delivering diverse services through interconnected devices. Current efforts concentrate on improving service responsiveness and explainability, often employing hybrid knowledge-based and data-driven approaches, microservice architectures, and advanced machine learning techniques like graph neural networks and federated learning with transfer learning. These advancements aim to enhance the performance, security, and privacy of IoT services across various applications, from smart homes and ports to crowdsourced energy sharing and mobile service composition.