State-of-the-Art Survey on Edge Intelligence

Zhang Xiaodong; Zhang Chaokun; Zhao Jijun

doi:10.7544/issn1000-1239.202220192

Journal of Computer Research and Development > 2023 > 60(12): 2749-2769. > DOI: 10.7544/issn1000-1239.202220192

Zhang Xiaodong, Zhang Chaokun, Zhao Jijun. State-of-the-Art Survey on Edge Intelligence[J]. Journal of Computer Research and Development, 2023, 60(12): 2749-2769. DOI: 10.7544/issn1000-1239.202220192

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State-of-the-Art Survey on Edge Intelligence

Zhang Xiaodong^{1, 2, 3,},
Zhang Chaokun^2, ,,
Zhao Jijun^{1, 3}

1.
School of Information & Electrical Engineering, Hebei University of Engineering, Handan, Hebei 056038
2.
College of Intelligence and Computing, Tianjin University , Tianjin 300350
3.
Hebei Provicial Key Laboratory of Security and Protection Information Sensing and Processing (Hebei University of Engineering), Handan, Hebei 056038

Funds: This work was supported by the National Key Research and Development Program of China (2019YFB2102400), the Hebei Provincial High-Level Talent Funding Project (B202003027), and the Tianjin Research Innovation Project for Postgraduate Students (2021YJSO2S04).

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Author Bio:
Zhang Xiaodong: born in 1998. Master candidate. Her main research interests include edge computing and Internet of vehicles

Zhang Chaokun: born in 1981. PhD, associate professor, master supervisor. Senior member of CCF. His main research interests include next generation Internet, edge computing, and Internet of things

Zhao Jijun: born in 1970. PhD, professor, PhD supervisor. Senior member of CCF. His main research interests include broadband communication network and Internet of things
Received Date: March 06, 2022
Revised Date: February 26, 2023
Available Online: September 19, 2023

Graphical Abstract

Abstract

Abstract

From smart terminal devices such as smart phones and smart watches, to large-scale intelligent applications, such as smart homes, Internet of vehicles, intelligent life and intelligent agriculture. Artificial intelligence (AI) has gradually entered and changed the life of human being. In this context, various of intelligent devices have produced massive amount of data, making traditional cloud computing paradigm unable to adapt to the unprecedented challenge. Instead, edge computing which aims to process the data at the edge of the network has the great potential to reduce latency and bandwidth pressure, as well as protect data privacy and security. Building AI models upon edge computing architecture, training and inferring the model, realizing the intelligence of the edge are crucial to the current social. As a result, a new interdisciplinary field, edge intelligence (EI), has begun to attract widespread attention. We make a comprehensive study on EI. Specifically, firstly introduce the basic knowledge of edge computing and AI, which leads to the background, motivation and challenges of EI. Secondly, the research on EI related technologies is discussed from three aspects, namely, the problems, the models and the algorithm. Further, the typical security problems in EI are introduced. Next, the applications of EI are described from three aspects of intelligent industry, intelligent life and intelligent agriculture. Finally, we propose the direction and prospect of EI in the future development.
- edge computing,
- artificial intelligence (AI),
- edge intelligence (EI),
- deep learning,
- cloud computing

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References (141)

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