Dynamic Sensor Selection

Dynamic Sensor Selection is a context-aware fusion methodology that dynamically identifies and activates the most relevant subset of available sensors in real time based on situational, environmental, or task-specific conditions to optimize performance, resource efficiency, and data quality.

41

Publications

1.5K

Citations

124

Authors

66

Institutions

Publications per year

2017–2026

13

Authors

124

  1. RN
    Ruixin Niu

    Syracuse University, United States

    3 publications · 154 citations

    3

    h-index

  2. PK
    Pramod K. Varshney

    Syracuse University, United States

    3 publications · 154 citations

    3

    h-index

  3. BS
    Bruno Sinopoli

    Carnegie Mellon University, United States

    2 publications · 66 citations

    2

    h-index

  4. JW
    James Weimer

    University of Pennsylvania, United States

    2 publications · 66 citations

    2

    h-index

  5. PK
    Patrick Killeen

    University of Ottawa, Canada

    2 publications · 113 citations

    2

    h-index

1–5 of 124

Venues

  1. Journal of Process Control

    2 publications · 38 citations

    2

    h-index

  2. Automatica

    1 publications · 43 citations

    1

    h-index

  3. Signal Processing

    1 publications · 23 citations

    1

    h-index

  4. Annals of Nuclear Energy

    1 publications · 15 citations

    1

    h-index

  5. ACM Transactions on Internet of Things

    TIOT · 1 publications · 14 citations

    1

    h-index

1–5