Iot Data Aggregation

IoT Data Aggregation is a data processing technique that systematically combines heterogeneous, high-volume data streams from distributed Internet of Things devices into consolidated, meaningful summaries to reduce redundancy, minimize transmission overhead, and enhance efficiency in downstream storage, analysis, and decision-making within IoT data management systems.

165

Publications

7.2K

Citations

580

Authors

301

Institutions

Publications per year

2017–2026

131

Authors

580

  1. KH
    Kaibin Huang

    University of Hong Kong, Hong Kong SAR China

    4 publications · 502 citations

    4

    h-index

  2. GZ
    Guangxu Zhu

    Shenzhen Research Institute of Big Data, China

    4 publications · 502 citations

    4

    h-index

  3. HL
    Hui Lin

    Fujian Normal University, China

    3 publications · 186 citations

    3

    h-index

  4. ZZ
    Zhangbing Zhou

    China University of Geosciences (Beijing), China

    3 publications · 86 citations

    3

    h-index

  5. NC
    Neeraj Chandnani

    Devi Ahilya Vishwavidyalaya, India

    3 publications · 93 citations

    3

    h-index

1–5 of 580

Venues

  1. IEEE Internet of Things Journal

    11 publications · 978 citations

    11

    h-index

  2. Sensors

    10 publications · 466 citations

    10

    h-index

  3. Future Generation Computer Systems

    FGCS · 7 publications · 468 citations

    7

    h-index

  4. Computer Networks

    5 publications · 175 citations

    5

    h-index

  5. Computers & Electrical Engineering

    4 publications · 223 citations

    4

    h-index

1–5