Edge Offloading

Edge Offloading is a computational strategy in IoT edge computing that involves the selective transfer of data processing tasks from resource-constrained edge devices to more capable neighboring edge or cloud resources to optimize performance, latency, and energy consumption.

964

Publications

68.6K

Citations

3.1K

Authors

884

Institutions

Publications per year

2017–2026

952

Authors

3.1K

  1. XX
    Xiaolong Xu

    Nanjing University of Information Science and Technology, China

    24 publications · 2.7K citations

    22

    h-index

  2. ZH
    Zhu Han

    University of Houston, United States

    16 publications · 1.3K citations

    15

    h-index

  3. LQ
    Lianyong Qi

    Qufu Normal University, China

    14 publications · 1.8K citations

    14

    h-index

  4. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    15 publications · 929 citations

    14

    h-index

  5. SP
    Symeon Papavassiliou

    National Technical University of Athens, Greece

    13 publications · 1K citations

    12

    h-index

1–5 of 3.1K

Venues

  1. IEEE Internet of Things Journal

    88 publications · 14.9K citations

    50

    h-index

  2. IEEE Transactions on Vehicular Technology

    40 publications · 3.1K citations

    30

    h-index

  3. IEEE Access

    52 publications · 4.4K citations

    30

    h-index

  4. Computer Networks

    35 publications · 2K citations

    25

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 27 publications · 2.4K citations

    24

    h-index

1–5