Fault-tolerant Data Collection

Fault-Tolerant Data Collection is a data acquisition framework in the context of Internet of Things systems that ensures continuous and reliable gathering of sensor data despite the presence of hardware failures, network disruptions, or environmental interferences through built-in redundancy, error detection, and automated recovery mechanisms.

11

Publications

361

Citations

37

Authors

28

Institutions

Publications per year

2017–2026

4

Authors

37

  1. CZ
    Chunsheng Zhu

    University of British Columbia, Canada

    1 publications · 137 citations

    1

    h-index

  2. QH
    Qi Han

    Colorado School of Mines, United States

    1 publications · 25 citations

    1

    h-index

  3. LS
    Lei Shu

    Guangdong University of Petrochemical Technology, China

    1 publications · 137 citations

    1

    h-index

  4. FV
    Frederik Versonnen

    Hubei University Of Economics, China

    1 publications · 18 citations

    1

    h-index

  5. TB
    Tatiana Bokareva

    UNSW Sydney, Australia

    1 publications · 56 citations

    1

    h-index

1–5 of 37

Venues

  1. Journal of Network and Computer Applications

    JNCA · 1 publications · 26 citations

    1

    h-index

  2. Cluster Computing

    1 publications · 18 citations

    1

    h-index

  3. IEEE Transactions on Vehicular Technology

    1 publications · 22 citations

    1

    h-index

  4. IEEE Network

    1 publications · 137 citations

    1

    h-index

  5. 1

    h-index

1–5