Metanalysis of the development of artificial intelligence and the internet of things: the transformation of work and life
DOI:
https://doi.org/10.37636/recit.v7n3e350Keywords:
Metanalysis, Artificial intelligence (AI), Internet of things (IoT), Industry 4.0, Industry 5.0Abstract
Artificial Intelligence (AI) and the Internet of Things (IoT) are changing the way we live and work by enabling seamless technology integration in our daily lives. This study explores the literature on the integration of AI and IoT to create intelligent systems that can autonomously make decisions and perform tasks based on real-time data from connected devices. This paper presents a meta-analysis of the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in decision-making processes, as well as in Industry 4.0 and 5.0. The study analyzed relevant records from the Web of Science database, evaluating research output, authorship, collaboration, institutional and geographical distribution, and impact. The results indicate that China has the highest number of total publications and total citations, followed by the USA and India. The study offers valuable insights into the scientific and technological advancements of various regions, their level of international collaboration, and their impact on the field of AI-IoT. The trend of publications indicates that Computer Science, Engineering, and Telecommunications are prominent and steadily growing fields. However, there has been a recent emergence and increase in Chemistry, Instruments & Instrumentation, and Material Science, which are contributing to the development of AI-IoT.
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P. R. Gunjal, S. R. Jondhale, J. Lloret, and K. Agrawal, “Things in the Internet of Things,” in Internet of Things, Boca Raton: CRC Press, 2024, pp. 61–115. doi: 10.1201/9781003282945-2.
M. Shoikhedbrod, “Internet of Things and JavaScript,” Journal of IoT and Machine Learning, vol. 1, no. 1, pp. 1–8, Feb. 2024, doi: 10.48001/joitml.2024.111-8. DOI: https://doi.org/10.48001/joitml.2024.111-8
C. Bell, “What Is the Internet of Things?,” in MicroPython for the Internet of Things, Berkeley, CA: Apress, 2024, pp. 1–27. doi: 10.1007/978-1-4842-9861-9_1. DOI: https://doi.org/10.1007/978-1-4842-9861-9_1
J. T. Ibibo, “IoT Attacks Countermeasures: Systematic Review and Future Research Direction,” 2024, pp. 95–111. doi: 10.1007/978-3-031-52265-9_7. DOI: https://doi.org/10.1007/978-3-031-52265-9_7
M. Ba, L. Dionlar, B. S. Haggar, and I. DIOP, “A Survey on Security in Data Transmission in IoT: Layered Architecture,” 2024, pp. 1–17. doi: 10.1007/978-3-031-51734-1_1. DOI: https://doi.org/10.1007/978-3-031-51734-1_1
P. Radanliev, “Artificial intelligence and quantum cryptography,” J Anal Sci Technol, vol. 15, no. 1, p. 4, Feb. 2024, doi: 10.1186/s40543-024-00416-6. DOI: https://doi.org/10.1186/s40543-024-00416-6
C. G. García, E. R. Núñez-Valdez, V. García-Díaz, B. Cristina Pelayo G-Bustelo, and J. M. C. Lovelle, “A Review of Artificial Intelligence in the Internet of Things,” International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, no. 4, pp. 9–20, 2019, doi: 10.9781/ijimai.2018.03.004. DOI: https://doi.org/10.9781/ijimai.2018.03.004
A. Khang and V. H. Abdullayev, “Computer Vision and AI-integrated IoT Technologies in Medical Ecosystem”, doi: 10.4018/9781003429609.
M. Eckardt and W. Kerber, “Property rights theory, bundles of rights on IoT data, and the EU Data Act,” European Journal of Law and Economics, Jan. 2024, doi: 10.1007/s10657-023-09791-8. DOI: https://doi.org/10.2139/ssrn.4879176
D. Mohan et al., “Artificial Intelligence and IoT in Elderly Fall Prevention: A Review,” IEEE Sens J, vol. 24, no. 4, pp. 4181–4198, Feb. 2024, doi: 10.1109/JSEN.2023.3344605. DOI: https://doi.org/10.1109/JSEN.2023.3344605
B. Basumatary, M. Yuvaraj, and M. K. Verma, “Scientific communication of east Asian countries on internet of things (IoT): A performance evaluation based on scientometric tools,” Information Development, p. 026666692211511, Jan. 2023, doi: 10.1177/02666669221151160. DOI: https://doi.org/10.1177/02666669221151160
Y. Jia, M. R. Hosseini, B. Zhang, I. Martek, B. Nikmehr, and J. Wang, “A scientometric-content analysis of integration of BIM and IoT,” IOP Conf Ser Earth Environ Sci, vol. 1101, no. 7, p. 072002, Nov. 2022, doi: 10.1088/1755-1315/1101/7/072002. DOI: https://doi.org/10.1088/1755-1315/1101/7/072002
H. Meziane and N. Ouerdi, “A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems,” Sci Rep, vol. 13, no. 1, p. 21255, Dec. 2023, doi: 10.1038/s41598-023-46640-9. DOI: https://doi.org/10.1038/s41598-023-46640-9
Dr. A. P. Ms. Pooja B. Gandhi, “The Power of Ai In Addressing The Challenges Faced By Indian Farmers In The Agriculture Sector: An Analysis,” Tuijin Jishu/Journal of Propulsion Technology, vol. 44, no. 4, pp. 4753–4777, Nov. 2023, doi: 10.52783/tjjpt.v44.i4.1788. DOI: https://doi.org/10.52783/tjjpt.v44.i4.1788
S. Wang et al., “Adaptive Federated Learning in Resource Constrained Edge Computing Systems.” vol. 37, no. 6, pp. 1205-1221, June 2019, doi: 10.1109/JSAC.2019.2904348. DOI: https://doi.org/10.1109/JSAC.2019.2904348
Z. Zhou, X. Chen, E. Li, L. Zeng, K. Luo, and J. Zhang, “Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing,” Proceedings of the IEEE, vol. 107, no. 8, pp. 1738–1762, Aug. 2019, doi: 10.1109/JPROC.2019.2918951. DOI: https://doi.org/10.1109/JPROC.2019.2918951
Z. Zhou, D. Niyato, Z. Xiong, X. Gong, W. Saad, and X. Fu, “Guest Editorial the Nexus Between Edge Computing and AI for 6G Networks,” IEEE Trans Netw Sci Eng, vol. 10, no. 3, pp. 1186–1189, May 2023, doi: 10.1109/TNSE.2023.3249040. DOI: https://doi.org/10.1109/TNSE.2023.3249040
H. Zhao, Y. Zhu, K. Lu, Q. Li, Z. Li, and S. Dong, “Edge computing and hybrid control technology for microgrids based on activity on edge networks,” Energy Conversion and Economics, vol. 4, no. 6, pp. 387–400, Dec. 2023, doi: 10.1049/enc2.12103. DOI: https://doi.org/10.1049/enc2.12103
Md. M. H. Shuvo, S. K. Islam, J. Cheng, and B. I. Morshed, “Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review,” Proceedings of the IEEE, vol. 111, no. 1, pp. 42–91, Jan. 2023, doi: 10.1109/JPROC.2022.3226481. DOI: https://doi.org/10.1109/JPROC.2022.3226481
F. Tao, Q. Qi, A. Liu, and A. Kusiak, “Data-driven smart manufacturing,” J Manuf Syst, vol. 48, pp. 157–169, Jul. 2018, doi: 10.1016/j.jmsy.2018.01.006. DOI: https://doi.org/10.1016/j.jmsy.2018.01.006
S. Vengusamy and H. A. L. Rajendran, “Artificial Intelligence (AI) in Battle Against COVID-19,” in The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19, BENTHAM SCIENCE PUBLISHERS, 2023, pp. 1–25. doi: 10.2174/9789815080650123010003. DOI: https://doi.org/10.2174/9789815080650123010003
A. Iglesias, A. Gálvez, and P. Suárez, “The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19,” 2023, pp. 111–128. doi: 10.1007/978-3-031-33183-1_7. DOI: https://doi.org/10.1007/978-3-031-33183-1_7
M. A. Muhammad and F. Al-Turjman, “Application of IoT, AI, and 5G in the Fight Against the COVID-19 Pandemic,” 2021, pp. 213–234. doi: 10.1007/978-3-030-60188-1_10. DOI: https://doi.org/10.1007/978-3-030-60188-1_10
S. Gnanamurthy, S. Raguvaran, B. Suresh Kumar, C. Santhosh Kumar, “AI-Powered Healthcare System to Fight the COVID-19 Pandemic on Federated Learning,” 2023, pp. 178–202. doi: 10.4018/979-8-3693-1082-3.ch010. DOI: https://doi.org/10.4018/979-8-3693-1082-3.ch010
P. R. Gunjal, S. R. Jondhale, J. Lloret, and K. Agrawal, “Things in the Internet of Things,” in Internet of Things, Boca Raton: CRC Press, 2024, pp. 61–115. doi: 10.1201/9781003282945-2. DOI: https://doi.org/10.1201/9781003282945-2
Z. Li, “Application Scenarios of Edge Computing in Conjunction with Cloud Computing and Artificial Intelligence,” Highlights in Science, Engineering and Technology, vol. 81, pp. 527–533, Jan. 2024, doi: 10.54097/bky92374. DOI: https://doi.org/10.54097/bky92374
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Copyright (c) 2024 Manuel Baro Tijerina, Manuel Román Piña Monárrez, José Manuel Villegas Izaguirre, Cinthia Judith Valdiviezo Castillo
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