Journal of Space Science and Technology

Journal of Space Science and Technology

Research Trends in Utilizing Artificial Intelligence in Satellite-Based Internet of Things: A Scientometric Analysis

Document Type : Review Paper

Authors
1 Assistant Professor, Satellite Communication Group, Faculty of Communications Technology, ICT Research Institute, Tehran, Iran
2 Assistant Professor, Faculty of Communications Technology, ICT Research Institute, Tehran, Iran
3 Science and Technology Observation LLC, Tehran, Iran
4 Assistant Professor, Satellite Communication Group Faculty of Communications Technology. Iran Telecommunication Research Center. Tehran. Iran.
Abstract
Today, according to the development of satellite-based hybrid networks -that are able to provide diverse and new services to the most parts of the planet-, the designers of such networks are encouraged to use new communication technologies such as the Internet of Things (IoT) and artificial intelligence (AI) to improve the performance of such classes of networks. In this article, using scientometric tools, the status of scientific publications in the field of "utilizing AI in satellite-based IoT" has been investigated. For this purpose, more than 475 research documents published from 2013 to 2023 have been extracted from the SCOPUS database and accordingly evaluated and analyzed using software tools such as Bibexcel and VOSviewer. Based on the statistical results, China, India and North America are among the top performing countries in this field. In addition, based on our findings, the schemes namely machine learning, deep learning, reinforcement learning, neural networks and convolutional neural networks have been used the most, in this research domain.
Keywords

Subjects


Article Title Persian

روندهای تحقیقاتی در به کارگیری هوش مصنوعی در اینترنت اشیاء مبتنی بر ماهواره: یک تحلیل علم سنجی

Authors Persian

پدرام حاجی پور 1
حسن یگانه 2
حسین افتخاری 3
هومن ضرابی 4
1 استادیار پژوهشی، گروه ارتباطات ماهوارهای،پژوهشکده فناوری ارتباطات،پژوهشگاه ارتباطات و فناوری اطلاعات، تهران، ایران
2 استادیار پژوهشی، پژوهشکده فناوری ارتباطات، پژوهشگاه ارتباطات و فناوری اطلاعات، تهران، ایران
3 شرکت دیده‌بان علم و فناوری، تهران، ایران
4 استادیار، گروه ارتباطات ماهواره ای- پژوهشکده فناوری ارتباطات-پژوهشگاه ارتباطات و فناوری اطلاعات
Abstract Persian

امروزه با توجه به توسعه شبکه ­های هیبریدی مبتنی بر ماهواره که قادر به ارائه خدمات متنوع و جدید به اکثر نقاط کره زمین هستند، طراحان این گونه شبکه ­ها را به استفاده از فناوری­ های جدید ارتباطی مانند اینترنت اشیا و هوش مصنوعی برای بهبود عملکرد این دسته از شبکه‌ها تشویق می­ کند. در این مقاله با استفاده از ابزارهای علم سنجی، وضعیت نشریات علمی در زمینه «استفاده از هوش مصنوعی در  ماهواره مبتنی بر اینترنت اشیا » بررسی شده است. برای این منظور بیش از 475 سند پژوهشی منتشر شده مابین سال­ های 2013 تا 2023 میلادی در  پایگاه SCOPUS استخراج و با استفاده از ابزارهای نرم افزاری مانند Bibexcel  و VOSviewer مورد ارزیابی و تحلیل قرار گرفته است. بر اساس نتایج آماری، چین، هند و آمریکای شمالی جزو کشورهای برتر در این زمینه هستند. علاوه بر این، بر اساس یافته‌های ما، الگوهایی مانند یادگیری ماشین، یادگیری عمیق، یادگیری تقویتی، شبکه‌های عصبی و شبکه‌های عصبی کانولوشنال بیشترین استفاده را در این حوزه پژوهشی داشته‌اند.

Keywords Persian

علم سنجی
اینترنت اشیا
هوش مصنوعی
[1] I. Goodfellow , Y. Bengio, and A. Courville, Deep Learning, MIT Press, 2016.
[2] S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd ed. Pearson, 2016.
[3] S. Bi et al., "A survey on artificial intelligence aided internet-of-things technologies in emerging smart libraries," Sensors, vol. 22, no. 8, 2022, Art. no. 2991, https://doi.org/10.3390/s22082991.
[4] Ju. H. Leel, D. P. Selvam, A. F. Molisch, and J. Kim, "Reinforcement learning empowered massive IoT access in LEO-based non-terrestrial networks," in 13th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, 2022, pp. 1347-1350, https://doi.org/10.1109/ICTC55196.2022.9952919.
[5] F. Massimi, P. Ferrara, and F. Benedetto, "Deep learning methods for space situational awareness in mega-constellations satellite-based internet of things networks," Sensors, vol. 23, no. 1, 2022, Art. no. 124, https://doi.org/10.3390/s23010124.
[6] X. Yuan, J. Liu, H. Du, Y. Zhang, F. Li, and M. Kadoch, "Machine learning-based satellite routing for SAGIN IoT networks," Electronics, vol. 11, no. 6, 2022, Art. no. 862, https://doi.org/10.3390/electronics11060862.
[7] C. M. Bishop, Pattern Recognition and Machine Learning, 1st ed. New York: Springer, 2006.
[8] A. K. Shukla, M. Janmaijaya, A. A. Abraham, and P. K. Muhuri, "Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)," Engineering Applications of Artificial Intelligence, vol. 85, pp. 517-532, 2019, https://doi.org/10.1016/j.engappai.2019.06.010.
[9] M. C. Kim and C. Chen, "A scientometric review of emerging trends and new developments in recommendation systems," Scientometrics, vol. 104, pp. 239-263, 2015, https://doi.org/10.1007/s11192-015-1595-5.
[10] J. P. Garcia Vazquez, R. S. Torres, and D. B. Pérez-Pérez, "Scientometric analysis of the application of artificial intelligence in agriculture," Journal of Scientometric Research, vol. 10, no. 1, pp. 55-62, 2021, https://doi.org/10.5530/jscires.10.1.7.
[11] M. Centenaro, C. E. Costa, F. Granelli, C. Sacchi, and L. Vangelista, "A survey on technologies, standards and open challenges in satellite IoT," IEEE Communications Surveys & Tutorials, vol. 23, no. 3, pp. 1693-1720, 2021, https://doi.org/10.1109/COMST.2021.3078433.
[12] R. Harikrishnan and M. M. Gaikwad, "IoT solutions for farmers on livestock management in smart city: A bibliometric survey," Library Philosophy and Practice(e-journal), 2021, Art. no. 5796, https://digitalcommons.unl.edu/libphilprac/5796.
[13] 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, vol. 40, no. 4, 2023, https://doi.org/10.1177/02666669221151160.
[14] M. J. Shayegan, "A bibliometric investigation into the literature of semantic reasoning in internet of things," Internet Technology Letters, vol. 6, no. 3, 2023, Art. no. e401, https://doi.org/10.1002/itl2.401.
[15] R. Y. Zhong et al., "Prefabricated construction enabled by the internet-of-things," Automation in Construction, vol. 76, pp. 59-70, 2017, https://doi.org/10.1016/j.autcon.2017.01.006.
[16] C. Çubukçu Çerasi and C. Aktürk, "A bibliometric analysis of smart cities and the internet of things," Serbian Journal of Electrical Engineering, vol. 20, no. 1, pp. 49-66, 2023, https://doi.org/10.2298/SJEE2301049C.
[17] N. Gupta and R. Chakravarty, "Trends in IoT research: A bibliometric and science mapping analysis of internet of things," Library Philosophy and Practice(e-journal), 2021, Art. no. 5269, https://digitalcommons.unl.edu/libphilprac/5269.
[18] Y. Zhou and A. N. Ahmed, "Cryptocurrency and digital currency based on blockchain-enabled IoT: A bibliometric literature review," Multimedia Tools and Applications, vol. 83, pp. 35583–35606, 2023, https://doi.org/10.1007/s11042-023-16726-7.
[19] S. O. Olatinwo and T. H. Joubert, "Deep learning for resource management in internet of things networks: A bibliometric analysis and comprehensive review," IEEE Access, vol. 10, pp. 94691-94717, 2022, https://doi.org/10.1109/ACCESS.2022.3195898.
[20] A. Kaba and C. K. Ramaiah, "Bibliometric analysis of research output on the internet of things in the arab World," DESIDOC Journal of Library & Information Technology, vol. 39, no. 5, pp. 222-229, 2019.
[21] N. Rezaee, S. M. Zanjirchi, N. Jalilian, and S. M. H. Bamakan, "Internet of things empowering operations management; A systematic review based on bibliometric and content analysis," Telematics and Informatics Reports, vol. 11, 2023, Art. no. 100096, https://doi.org/10.1016/j.teler.2023.100096.
[22] K. Szum, "IoT-based smart cities: A bibliometric analysis and literature review," Engineering Management in Production and Services, vol. 13, no. 2, pp. 115-136, 2021, https://doi.org/ 10.2478/emj-2021-0017.
[23] H. X. Qin, Y. Hao, and J. G. Miao, "Analysis of research situation of wireless transmission of the internet of things based on bibliometrics," Journal of Physics: Conference Series, vol. 1948, 2021, Art. no. 012142, https://doi.org/10.1088/1742-6596/1948/1/012142.
[24] K. A. Darabkh, M. Al-Akhras, J. N. Zomot, and M. Atiquzzaman, "RPL routing protocol over IoT: A comprehensive survey, recent advances, insights, bibliometric analysis, recommendations, and future directions," Journal of Network and Computer Applications, vol. 207, 2022, Art. no. 103476, https://doi.org/10.1016/j.jnca.2022.103476.
[25] A. Patel et al., "Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis," Engineering Applications of Artificial Intelligence, vol. 123, Part B, 2023, Art. no. 106335, https://doi.org/10.1016/j.engappai.2023.106335.
[26] S. Th. Konstantinidis, A. Billis, H. Wharrad, and P. D. Bamidis, "Internet of things in health trends through bibliometrics and text mining," in Informatics for Health: Connected Citizen-Led Wellness And Population Health, vol. 235. R. Randell, R. Cornet, C. McCowan, N. Peek, and P. J. Scott, Eds., IOS Press, 2017, pp.73-77, https://doi.org/10.3233/978-1-61499-753-5-73.
[27] X. Zhaoyuan, T. Jun, and F. Lihua, "A comparative analysis of the research on the internet of things between China-US based on bibliometric," Journal of Library and Information Science in Agriculture, vol. 31, no. 3, pp. 35-47, 2019, (in Chinese(, https://doi.org/10.13998/j.cnki.issn1002-1248.2019.03.19-0237.
[28] J. Ruiz-Rosero, G. Ramirez-Gonzalez, J. M. Williams, H. Liu, R. Khanna, and G. Pisharody, "Internet of things: A scientometric review," Symmetry, vol. 9, no. 12, 2017, Art. no. 301, https://doi.org/10.3390/sym9120301.
[29] Y. Bouzembrak, M. Klüche, A. Gavai, and H. J. P. Marvin, "Internet of things in food safety: Literature review and a bibliometric analysis," Trends in Food Science & Technology, vol. 94, pp. 54-64, 2019, https://doi.org/10.1016/j.tifs.2019.11.002.
[30] J. R. K. Dabbakuti, R. Peesapati, and K. K. Anumandla, "Design and development of artificial intelligence enabled IoT framework for satellite based navigation services," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, Art. no. 1001912, https://doi.org/10.1109/TGRS.2023.3328858.
[31] Z. Md Fadlullah and N. Kato, "On smart IoT remote sensing over integrated terrestrial-aerial-space networks: An asynchronous federated learning approach," IEEE Network, vol. 35, no. 5, pp. 129-135, 2021, https://doi.org/10.1109/MNET.101.2100125.

  • Receive Date 22 February 2024
  • Revise Date 19 April 2024
  • Accept Date 01 May 2024
  • First Publish Date 30 November 2024