Edge Task Offloading

Edge Task Offloading is a computational strategy in which latency-sensitive or resource-intensive tasks originating from end devices are selectively migrated to proximate edge computing nodes to optimize performance, energy consumption, and response time within distributed edge-network infrastructures.

1.5K

Publications

98.2K

Citations

4.1K

Authors

1K

Institutions

Publications per year

2017–2026

1.4K

Authors

4.1K

  1. XX
    Xiaolong Xu

    Nanjing University of Information Science and Technology, China

    24 publications · 2.5K citations

    21

    h-index

  2. ZH
    Zhu Han

    University of Houston, United States

    21 publications · 1.3K citations

    18

    h-index

  3. LQ
    Lianyong Qi

    Qufu Normal University, China

    17 publications · 2K citations

    17

    h-index

  4. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    18 publications · 1.7K citations

    16

    h-index

  5. XC
    Xu Chen

    Sun Yat-sen University, China

    17 publications · 1.7K citations

    16

    h-index

1–5 of 4.1K

Venues

  1. IEEE Internet of Things Journal

    148 publications · 13.5K citations

    67

    h-index

  2. IEEE Transactions on Vehicular Technology

    89 publications · 8.2K citations

    50

    h-index

  3. IEEE Access

    96 publications · 5.5K citations

    42

    h-index

  4. IEEE Transactions on Wireless Communications

    53 publications · 4.9K citations

    40

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 53 publications · 4.5K citations

    38

    h-index

1–5