Sensor Network Forecasting

Sensor Network Forecasting is a computational framework that enables real-time prediction of environmental or physical phenomena by dynamically integrating and analyzing streaming data from spatially distributed sensor nodes within a network.

51

Publications

1.6K

Citations

197

Authors

96

Institutions

Publications per year

2017–2026

22

Authors

197

  1. HC
    Han‐Lim Choi

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 43 citations

    2

    h-index

  2. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    2 publications · 43 citations

    2

    h-index

  3. JD
    Jeremiah D. Deng

    University of Otago, New Zealand

    1 publications · 36 citations

    1

    h-index

  4. JL
    Jing Li

    Peking University, China

    1 publications · 23 citations

    1

    h-index

  5. AA
    A. Asha

    Rajalakshmi Engineering College

    1 publications · 81 citations

    1

    h-index

1–5 of 197

Venues

  1. Sensors

    3 publications · 87 citations

    3

    h-index

  2. Procedia Computer Science

    2 publications · 27 citations

    2

    h-index

  3. International Journal of Sensor Networks

    2 publications · 24 citations

    2

    h-index

  4. IEEE Sensors Journal

    2 publications · 43 citations

    2

    h-index

  5. Sustainable Computing Informatics and Systems

    1 publications · 57 citations

    1

    h-index

1–5