Embedded Sensor Networks

Embedded Sensor Networks is a system-level technological framework within proprioceptive sensing that integrates spatially distributed sensing nodes with local processing and communication capabilities into physical structures to enable continuous, real-time monitoring and feedback of internal state parameters such as position, stress, temperature, and deformation.

300

Publications

21.2K

Citations

1K

Authors

364

Institutions

Publications per year

2017–2026

45

Authors

1K

  1. MS
    Mani Srivastava

    University of California, Los Angeles, United States

    10 publications · 943 citations

    10

    h-index

  2. DE
    Deborah Estrin

    University of California, Los Angeles, United States

    7 publications · 1.3K citations

    7

    h-index

  3. MP
    Miodrag Potkonjak

    University of California, Los Angeles, United States

    7 publications · 579 citations

    7

    h-index

  4. PL
    Philip Levis

    Stanford University, United States

    6 publications · 1.2K citations

    6

    h-index

  5. DC
    David Culler

    University of California, Berkeley, United States

    6 publications · 2.1K citations

    6

    h-index

1–5 of 1K

Venues

  1. Sensors

    15 publications · 702 citations

    13

    h-index

  2. IEEE Pervasive Computing

    6 publications · 2.2K citations

    6

    h-index

  3. IEEE Sensors Journal

    6 publications · 150 citations

    6

    h-index

  4. eScholarship (California Digital Library)

    Repository · 5 publications · 100 citations

    5

    h-index

  5. 5

    h-index

1–5