Energy-aware Edge Computing
Energy-Aware Edge Computing is an edge computing paradigm that integrates energy efficiency as a core optimization criterion by dynamically managing computational tasks, data flows, and resource allocation at the network edge to minimize energy consumption while maintaining system performance and responsiveness.
116
Publications
6K
Citations
528
Authors
227
Institutions
Publications per year
2017–2026
112
Parents
116
Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing
Xu Chen, Lingjun Pu, Lin Gao et al. · IEEE Wireless Communications · 2017 · 241 citations
1–5 of 116
528
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University of Electronic Science and Technology of China, China
2 publications · 354 citations
2
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1–5 of 528
227

Huazhong University of Science and Technology
Wuhan, China
5 h-index
21 publications
1.1K citations
Peng Cheng Laboratory
Shenzhen, China
4 h-index
10 publications
353 citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
11 publications
790 citations

Qatar University
Doha, Qatar
4 h-index
11 publications
360 citations
Tsinghua University
Beijing, China
4 h-index
21 publications
811 citations

Southern University of Science and Technology
Shenzhen, China
4 h-index
12 publications
412 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
13 publications
653 citations

Nanjing University of Information Science and Technology
Nanjing, China
3 h-index
9 publications
603 citations
1–8 of 227
FGCS · 5 publications · 378 citations
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4 publications · 306 citations
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3 publications · 111 citations
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JNCA · 3 publications · 340 citations
3
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3 publications · 67 citations
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