Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study

Area of Science:

• * Computer Science
• * Information Technology
• * Artificial Intelligence

Background:

• * The integration of Artificial Intelligence (AI) into Internet of Things (IoT) systems is rapidly expanding.
• * Understanding AI's specific roles and application domains within IoT is essential for further research and development.
• * Existing literature requires systematic analysis to consolidate knowledge on AI in IoT.

Purpose of the Study:

• * To systematically identify and categorize the diverse roles of Artificial Intelligence (AI) within Internet of Things (IoT) systems.
• * To pinpoint the primary application domains where AI significantly impacts IoT functionality.
• * To provide a structured overview of AI's contributions to IoT ecosystems.

Main Methods:

• * A systematic mapping study was conducted, analyzing 81 survey articles.
• * Data was extracted from major scientific databases: Scopus, ACM Digital Library, IEEE Xplore, and Wiley Online.
• * Selection criteria were applied to ensure the relevance and quality of included studies.

Main Results:

• * Six general tasks of AI in IoT systems were identified: pattern recognition, decision support, decision-making and acting, prediction, data management, and human interaction.
• * Fifteen specific subtasks were further detailed.
• * Thirteen distinct application domains were mapped, with healthcare emerging as the most prominent.

Conclusions:

• * AI plays a crucial role in enhancing the efficiency, security, and functionality of IoT systems.
• * The identified AI tasks and application domains highlight significant opportunities for innovation.
• * Further research and practical implementation of AI in IoT are supported by this comprehensive mapping.