Advanced Industrial SCIence (산업과 과학)

Convergence Society for SMB (중소기업융합학회)
권호 표지
DOI QR코드

DOI QR Code

The Convergence of Artificial Intelligence and the Internet of Things (AIoT): Innovations, Challenges, and Future Directions

인공지능과 사물인터넷(AIoT)의 융합: 혁신, 도전 과제, 그리고 미래 방향

  • Sunghyuck Hong (Division of Advanced IT, IoT major, Baekseok University)
  • 홍성혁 (백석대학교 첨단IT학부, IoT 전공)
  • Received : 2024.08.16
  • Accepted : 2024.12.20
  • Published : 2024.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, represents a significant technological advancement with profound implications across various industries. AIoT leverages the data generation capabilities of IoT devices and the decision-making power of AI to create intelligent, autonomous systems. This paper explores the key innovations driving AIoT, including smart homes, healthcare, industrial automation, and autonomous vehicles. It also examines the primary challenges, such as security, data management, and ethical concerns, offering solutions and best practices to address these issues. Through a comprehensive review of current literature and analysis of emerging trends, this paper provides insights into the future directions of AIoT, highlighting its potential to revolutionize technology and society.

인공지능(AI)과 사물인터넷(IoT)의 융합인 인공지능 사물인터넷(AIoT)은 다양한 산업에 깊은 영향을 미치는 중요한 기술 발전을 나타낸다. AIoT는 IoT 장치의 데이터 생성 능력과 AI의 의사 결정 능력을 활용하여 지능형 자율 시스템을 만든다. 이 논문은 스마트 홈, 헬스케어, 산업 자동화 및 자율 차량을 포함한 AIoT를 이끄는 주요 혁신을 탐구하여 연구에 도움이 되기 위한 자료를 제공한다. 또한 보안, 데이터 관리 및 윤리적 문제와 같은 주요 과제를 검토하고 이러한 문제를 해결하기 위한 솔루션과 모범 사례를 제시한다. 현재 문헌에 대한 포괄적인 검토와 신흥 트렌드 분석을 통해 AIoT의 미래 방향에 대한 통찰력을 제공하며, 기술과 사회를 혁신할 잠재력을 강조하는 논문이다.

Keywords

Acknowledgement

This research was supported by 2024 Baekseok University research fund.

References

  1. Zhang, Z., He, T., Zhu, M., Shi, Q., & Lee, C. (2020). Smart triboelectric socks for enabling Artificial Intelligence of Things (AIoT) based smart home and healthcare. In 2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS) (pp. 80-83). IEEE. DOI : 10.1109/MEMS46641.2020.9056149
  2. Yan, J. (2024). AIoT in Smart Homes: Challenges, Strategic Solutions, and Future Directions. Highlights in Science, Engineering and Technology, 87, 59-65.
  3. Singampalli, D. T., & Pise, A. A. (2023). AI-Based Internet of Things (AIoT): applications of AI with IoT. In Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (pp. 105-130). IGI Global.
  4. Malik, A., Parihar, V., Bhawna, Bhushan, B., & Karim, L. (2023). Empowering Artificial Intelligence of Things (AIoT) Toward Smart Healthcare Systems. In AI Models for Blockchain-Based Intelligent Networks in IoT Systems: Concepts, Methodologies, Tools, and Applications (pp. 121-140). Cham: Springer International Publishing.
  5. Villar, E., Martin Toral, I., Calvo, I., Barambones, O., & Fernandez-Bustamante, P. (2024). Architectures for Industrial AIoT Applications. Sensors, 24(15), 4929.
  6. Baker, S., & Xiang, W. (2023). Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities. IEEE Communications Surveys & Tutorials, 25(2), 1261-1293.
  7. Anwar, R. W., Ismael, A., & Qureshi, K. N. Advanced AIoT Applications and Services. In Artificial Intelligence of Things (AIoT) (pp. 21-33). CRC Press.
  8. Hou, K. M., Diao, X., Shi, H., Ding, H., Zhou, H., & de Vaulx, C. (2023). Trends and challenges in AIoT/IIoT/IoT implementation. Sensors, 23(11), 5074.
  9. Parihar, V., Malik, A., Bhawna, Bhushan, B., & Chaganti, R. (2023). From smart devices to smarter systems: The evolution of artificial intelligence of things (AIoT) with characteristics, architecture, use cases and challenges. In AI models for blockchain-based intelligent networks in iot systems: Concepts, methodologies, tools, and applications (pp. 1-28). Cham: Springer International Publishing.
  10. Rozlosnik, A. E. (2020, June). Reimagining infrared industry with artificial intelligence and IoT/IIoT. In Thermosense: Thermal Infrared Applications XLII (Vol. 11409, pp. 233-257). SPIE.
  11. Mishra, P., & Shrivastava, S. (2021). Automated Wheelchair for the Physically Challenged with AIoT Modules. In Edge-AI in Healthcare (pp. 97-114). CRC Press.
  12. Jayadatta, S. (2023). A study on latest developments in artificial intelligence (AI) and internet of things (IoT) in current context. Journal of Applied Information Science, 11(2), 21-28.
  13. Gouiza, N., Jebari, H., & Reklaoui, K. (2024). Integration Of Iot-Enabled Technologies And Artificial Intelligence In Diverse Domains: Recent Advancements And Future Trends. Journal of Theoretical and Applied Information Technology, 102(5).
  14. Pathak, D., Rathod, V., & Chapaneri, R. (2023, June). A comprehensive survey on AIoT integrated smart health cities. In AIP Conference Proceedings (Vol. 2705, No. 1). AIP Publishing.
  15. Mishra, D., Singh, P., & Agarwal, S. (2022). AI- and IoT-based architecture in healthcare. In Transformation in Healthcare with Emerging Technologies (pp. 1-18). Chapman and Hall/CRC.