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

Authors

528

  1. WS
    Weisong Shi

    Wayne State University, United States

    3 publications · 279 citations

    3

    h-index

  2. AM
    Amr Mohamed

    Qatar University, Qatar

    3 publications · 73 citations

    3

    h-index

  3. XS
    Xin Si

    National Tsing Hua University, Taiwan

    2 publications · 354 citations

    2

    h-index

  4. KT
    Kea‐Tiong Tang

    National Tsing Hua University, Taiwan

    2 publications · 354 citations

    2

    h-index

  5. NL
    Nan-Chun Lien

    University of Electronic Science and Technology of China, China

    2 publications · 354 citations

    2

    h-index

1–5 of 528

Venues

  1. Future Generation Computer Systems

    FGCS · 5 publications · 378 citations

    5

    h-index

  2. Computer Communications

    4 publications · 306 citations

    4

    h-index

  3. IEEE Transactions on Sustainable Computing

    3 publications · 111 citations

    3

    h-index

  4. Journal of Network and Computer Applications

    JNCA · 3 publications · 340 citations

    3

    h-index

  5. Ad Hoc Networks

    3 publications · 67 citations

    3

    h-index

1–5