Localization With Missing Data

Localization with Missing Data is a localization method in the context of Internet of Things systems that specifically addresses the challenge of estimating node or object positions when incomplete or partially observed measurement data are present due to sensor failures, communication losses, or environmental disruptions.

36

Publications

1.3K

Citations

125

Authors

60

Institutions

Publications per year

2017–2026

17

Authors

125

  1. LB
    Lili Bu

    University of Jinan, China

    2 publications · 72 citations

    2

    h-index

  2. SD
    Suprakash Datta

    York University, Canada

    2 publications · 349 citations

    2

    h-index

  3. RW
    Ruchuan Wang

    Nanjing University of Posts and Telecommunications, China

    2 publications · 71 citations

    2

    h-index

  4. MR
    Masoomeh Rudafshani

    York University, Canada

    2 publications · 349 citations

    2

    h-index

  5. YX
    Yuan Xu

    University of Jinan, China

    2 publications · 72 citations

    2

    h-index

1–5 of 125

Venues

  1. IEEE Access

    2 publications · 46 citations

    2

    h-index

  2. Sensors

    2 publications · 51 citations

    2

    h-index

  3. IEEE Transactions on Signal Processing

    1 publications · 50 citations

    1

    h-index

  4. KTH Publication Database DiVA (KTH Royal Institute of Technology)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. IFAC Proceedings Volumes

    1 publications · 19 citations

    1

    h-index

1–5