Author(s)

ZongYang Du

Affiliation(s)

Kwangwoon University, Seoul, South Korea. 

Corresponding Author

ZongYang Du

ABSTRACT

With the rapid development of the mobile Internet, smart devices are playing an increasingly important role in people's lives. Edge computing is a key technology for solving resource scheduling problems and is of great significance for meeting high-performance user requirements. This paper deeply studies the resource scheduling strategy for Internet of Things edge computing based on artificial potential field algorithm. It analyzes the architecture of edge computing, resource scheduling methods, research problems, and technical methods, and discusses its application scenarios and challenges. Through the introduction of artificial potential field algorithm, the edge computing resource scheduling is optimized to improve system performance and user experience. 

KEYWORDS

User experience; System performance; Internet of things; Key technology

CITE THIS PAPER

ZongYang Du. Resource scheduling strategy for internet of things edge computing based on artificial potential field algorithm. Multidisciplinary Journal of Engineering and Technology. 2025, 2(1): 29-34. DOI: https://doi.org/10.61784/mjet3020.

REFERENCES

[1] Hari Prasad Acharja, Sonam Choki, Dorji Wangmo, et al. Development of fog visibility enhancement and alert system using IoT. Cogent Engineering, 2024, 11(1).

[2] Amenu Leta Duguma, Xiuguang Bai. How the internet of things technology improves agricultural efficiency. Artificial Intelligence Review, 2024, 58(2): 63-63.

[3] Basil C E Oguguo, Barnabas C Madu, Anayo David Nnaji, et al. The Predictive Potency of Internet of Things Cybersecurity Technology on Classroom Assessment Practices in Higher Institutions of Learning in Nigeria. SN Computer Science, 2024, 5(8): 1174-1174.

[4] Lingya Zhang. Internet of things vs. factory of things:an evaluation of evolving technologies for corporate sustainable development. International Journal of Electronic Business, 2025, 20(1): 17-33.

[5] Mst Nargis Aktar, Nilanjana Basak, Shuvo Biswas, et al. SPR-Based Fiber Optic Sensor for the Development of Internet of Things (IoT) Technologies. Plasmonics, 2024, (prepublish): 1-11.

[6] Apinan Aurasopon, Thawatchai Thongleam, Sanya Kuankid. Integration of IoT Technology in Hydroponic Systems for Enhanced Efficiency and Productivity in Small-Scale Farming. Acta Technologica Agriculturae, 2024, 27(4): 203-211.

[7] Neerav Sharma, Shubham Bhattacharjee, Rahul Dev Garg, et al. Sustainable management and agriculture resource technology system using remote sensing descriptors and IoT. Geomatica, 2024, 76(2): 100040-100040.

[8] Rehman Shafique Ur, Usman Muhammad, Fernando Yudi, et al. Improving manufacturing supply chain performance:nexus of industrial Internet of Things, blockchain technology and innovativeness. Journal of Science and Technology Policy Management, 2024, 15(6): 1641-1664.

[9] Boyuan Wang, Xiali Shi, Xihao Han, et al. The digital transformation of nursing practice:an analysis of advanced IoT technologies and smart nursing systems. Frontiers in Medicine, 2024, 11: 1471527-1471527.

[10] Ding Dawei, Shankar Achyut. Industrial mechanical equipment fault detection and high-performance data analysis technology based on the Internet of Things. Intelligent Decision Technologies, 2024, 18(4): 3171-3184.

[11] Zhang Zongju, Shankar Achyut. Design and simulation of electronic communication positioning system based on Internet of Things technology. Intelligent Decision Technologies, 2024, 18(4): 3347-3363.

[12] El Jaouhari Asmae, Arif Jabir, Samadhiya Ashutosh, et al. An environmental-based perspective framework:integrating IoT technology into a sustainable automotive supply chain. Benchmarking: An International Journal, 2024, 31(10): 3655-3689.

[13] Valentin Iordache, Marius Minea, R?zvan Andrei Gheorghiu, et al. Integrating Connected Vehicles into IoT Ecosystems:A Comparative Study of Low-Power, Long-Range Communication Technologies. Sensors, 2024, 24(23): 7607-7607.

[14] IoT MVNO Market Growing Trends, Future Outlook, Advance Technology, Global Size, Share And Forecast-2028. M2 Presswire, 2024,

[15] Liying Zhao, Lina Ding. Wireless sensor network based on IoT automation technology application in green supply chain management of automobile manufacturing industry. The International Journal of Advanced Manufacturing Technology, 2024, (prepublish):1-12.

[16] Seetah Almarri, Ahmed Aljughaiman. Blockchain Technology for IoT Security and Trust: A Comprehensive SLR. Sustainability, 2024, 16(23): 10177-10177.

[17] Xueting Yang, Bing Sun, Shilong Liu. Study of technology communities and dominant technology lock-in in the Internet of Things domain-Based on social network analysis of patent network. Information Processing and Management, 2025, 62(1): 103959-103959.

[18] Yasir Ali, Habib Ullah Khan, Faheem Khan, et al. Building integrated assessment model for IoT technology deployment in the Industry 4. 0. Journal of Cloud Computing, 2024, 13(1): 155-155.

[19] Agostino Marengo, Alessandro Pagano, Vito Santamato. An efficient cardiovascular disease prediction model through AI-driven IoT technology. Computers in Biology and Medicine, 2024, 183: 109330-109330.

[20] Ruoqian Yang, Xingfang Peng. Blockchain Technology Marketing Sustainable and Accurate Push System Based on Big Data and Internet of Things. Advances in Computer, Signals and Systems, 2024, 8(7).