Distributed Embedded Sensing

Distributed Embedded Sensing is a systematic framework of interconnected, spatially separated embedded sensors that collaboratively acquire, process, and transmit physical or environmental data within a shared operational context, distinguished by decentralized data acquisition and localized processing to enable real-time, scalable monitoring and decision-making.

13

Publications

384

Citations

63

Authors

21

Institutions

Publications per year

2017–2026

2

Authors

63

  1. FZ
    Feng Zhao

    Microsoft Research Asia (China), China

    1 publications · 17 citations

    1

    h-index

  2. MP
    Markus P. J. Fromherz

    Palo Alto Research Center, United States

    1 publications · 17 citations

    1

    h-index

  3. MM
    Michael McAuley

    University of Oxford, United Kingdom

    1 publications · 18 citations

    1

    h-index

  4. DC
    David Caicedo

    Philips (Netherlands), Netherlands

    1 publications · 25 citations

    1

    h-index

  5. MP
    Miodrag Potkonjak

    University of California, Los Angeles, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 63

Venues

  1. Agronomy

    1 publications · 36 citations

    1

    h-index

  2. Proceedings of the IEEE

    1 publications · 17 citations

    1

    h-index

  3. NASA Technical Reports Server (NASA)

    Repository · 1 publications · 18 citations

    1

    h-index

  4. Frontiers of Computer Science

    1 publications · 20 citations

    1

    h-index

  5. Sensors and Actuators A Physical

    1 publications · 11 citations

    1

    h-index

1–5