Fog Analytics

Fog Analytics is an analytical framework within the broader domain of data analytics that enables localized, real-time processing and analysis of Internet of Things (IoT) data at the network edge through the integration of fog computing infrastructure, thereby reducing latency, bandwidth usage, and cloud dependency while supporting time-sensitive and context-aware decision-making.

28

Publications

1.4K

Citations

84

Authors

43

Institutions

Publications per year

2017–2026

25

Authors

84

  1. HD
    Harishchandra Dubey

    The University of Texas at Dallas, United States

    4 publications · 230 citations

    4

    h-index

  2. KM
    Kunal Mankodiya

    University of Rhode Island, United States

    3 publications · 152 citations

    3

    h-index

  3. NC
    Nicholas Constant

    University of Rhode Island, United States

    2 publications · 71 citations

    2

    h-index

  4. PK
    Prasanna Kansakar

    Kansas State University, United States

    2 publications · 31 citations

    2

    h-index

  5. AM
    Arslan Munir

    Kansas State University, United States

    2 publications · 31 citations

    2

    h-index

1–5 of 84

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 169 citations

    4

    h-index

  2. IEEE Access

    2 publications · 79 citations

    2

    h-index

  3. 2

    h-index

  4. Politics and Governance

    1 publications · 37 citations

    1

    h-index

  5. 1

    h-index

1–5