Energy-efficient Edge Computing
Energy-Efficient Edge Computing is a computational paradigm within edge computing that optimizes the trade-off between performance and energy consumption by minimizing power usage in resource-constrained edge devices and networks while maintaining quality-of-service requirements.
533
Publications
29.6K
Citations
2.2K
Authors
693
Institutions
Publications per year
2017–2026
521
Variants
Green Edge Computing
533
Edge Computing for Autonomous Driving: Opportunities and Challenges
Shaoshan Liu, Liangkai Liu, Jie Tang et al. · Proceedings of the IEEE · 2019 · 746 citations
1–5 of 533
2.2K
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8
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8
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693

Beijing University of Posts and Telecommunications
Beijing, China
15 h-index
55 publications
2.6K citations

Southeast University
Nanjing, China
14 h-index
47 publications
3.3K citations
Kyung Hee University
Seoul, South Korea
13 h-index
25 publications
997 citations

Huazhong University of Science and Technology
Wuhan, China
13 h-index
38 publications
1.7K citations
Singapore University of Technology and Design
Singapore, Singapore
12 h-index
17 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
34 publications
2.4K citations
National Tsing Hua University
Hsinchu, Taiwan
10 h-index
113 publications
18.4K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
27 publications
1.4K citations
1–8 of 693
35 publications · 2.5K citations
25
h-index
25 publications · 1.1K citations
20
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ITGCN · 13 publications · 654 citations
13
h-index
12 publications · 784 citations
12
h-index
11 publications · 1.9K citations
11
h-index
1–5