Edge Computing Offloading

Edge Computing Offloading is a computational paradigm that enables the transfer of resource-intensive processing tasks from augmented reality devices to proximate edge computing nodes to reduce latency, conserve device energy, and enhance overall system performance.

1.6K

Publications

119.2K

Citations

4.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

1.6K

Authors

4.5K

  1. YZ
    Yan Zhang

    University of Oslo, Norway

    20 publications · 2.7K citations

    19

    h-index

  2. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    19 publications · 1.8K citations

    19

    h-index

  3. GM
    Geyong Min

    University of Exeter, United Kingdom

    19 publications · 2K citations

    18

    h-index

  4. XX
    Xiaolong Xu

    Nanjing University of Information Science and Technology, China

    19 publications · 2K citations

    17

    h-index

  5. FR
    F. Richard Yu

    Carleton University, Canada

    18 publications · 2.5K citations

    17

    h-index

1–5 of 4.5K

Venues

  1. IEEE Internet of Things Journal

    160 publications · 15.4K citations

    68

    h-index

  2. IEEE Access

    114 publications · 6.4K citations

    47

    h-index

  3. IEEE Transactions on Vehicular Technology

    85 publications · 9.3K citations

    47

    h-index

  4. IEEE Transactions on Wireless Communications

    54 publications · 6.6K citations

    40

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 49 publications · 5.4K citations

    36

    h-index

1–5