Sensor Sampling

Sensor Sampling is a methodological process within mobile sensor integration that systematically determines the temporal, spatial, or spatiotemporal intervals and conditions under which sensor data are acquired to optimize information fidelity, resource efficiency, and sensing objectives.

157

Publications

6.7K

Citations

465

Authors

213

Institutions

Publications per year

2017–2026

31

Authors

465

  1. AM
    Abdallah Makhoul

    Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, France

    5 publications · 214 citations

    5

    h-index

  2. ND
    Nicholas D. Lane

    University of Cambridge, United Kingdom

    4 publications · 298 citations

    4

    h-index

  3. PI
    Prakash Ishwar

    Boston University, United States

    3 publications · 73 citations

    3

    h-index

  4. CM
    Cecilia Mascolo

    University of Cambridge, United Kingdom

    3 publications · 134 citations

    3

    h-index

  5. KK
    Klaus Kabitzsch

    Technische Universität Dresden, Germany

    3 publications · 133 citations

    3

    h-index

1–5 of 465

Venues

  1. Sensors

    6 publications · 616 citations

    6

    h-index

  2. IEEE Sensors Journal

    5 publications · 248 citations

    5

    h-index

  3. IEEE Transactions on Signal Processing

    4 publications · 139 citations

    4

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 3 publications · 234 citations

    3

    h-index

  5. International Journal of Sensor Networks

    3 publications · 51 citations

    3

    h-index

1–5