Internet of Things – Enablers, Challenges and Applications

(IoT‑ECAW)

The Internet of Things is a technology that is rapidly emerging around the world Moreover, artificial intelligence algorithms and AI models are increasingly being deployed on edge devices, enabling process automation and real-time decision-making.. IoT applications include smart city initiatives, wearable devices aimed at real-time health monitoring, smart homes and buildings, smart vehicles, environment monitoring, intelligent border protection, and logistics support. The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems, and other similar devices. The addition of AI to IoT allows for enhanced predictive analytics, anomaly detection, and intelligent automation, further revolutionizing industries. Widespread connectivity, the decreasing cost of smart devices, and the growing demand for data indicate that the IoT, empowered by AI-driven analytics, will continue to expand rapidly. The business models of various industries are being redesigned on the basis of the IoT paradigm, where distributed AI plays a key role in optimizing operations, enhancing efficiency, and providing actionable insights from the vast amounts of data collected by IoT devices. However, the successful deployment of IoT is conditioned by progress in solving many challenges, particularly in integrating AI to enhance security, automation, and decision-making processes.
These issues include:

• The integration of heterogeneous sensors and systems with different technologies, considering environmental constraints, AI-driven data processing, and data confidentiality levels;
• Big challenges in information management for IoT applications in different fields, including trustworthiness, provenance, privacy, and AI-enhanced data interpretation;
• Security challenges related to the co-existence and interconnection of many IoT networks, where AI can help detect threats and automate responses;
• Challenges related to reliability and dependability, especially when IoT becomes a mission-critical component, with AI-based fault prediction and system optimization;
• Zero-configuration or other convenient approaches to simplify the deployment and configuration of IoT, self-healing IoT networks enhanced by AI, and autonomous adaptation to changing conditions;
• Knowledge discovery, especially semantic and syntactical discovering of the information from data provided by IoT, leveraging AI techniques such as machine learning and deep learning for better insights.

This Thematic Session is seeking original, high-quality research papers related to such topics. We will also solicit papers about current implementation efforts, research results, and position statements from industry and academia regarding  applications of IoT, particularly in conjunction with AI. The focus areas will include, but are not limited to, challenges in networking and information management, security and privacy assurance, logistics, situation awareness, and medical care.