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
Parents
13
A Cost-Effective Embedded Platform for Greenhouse Environment Control and Remote Monitoring
R. Şumălan, Nicoleta Stroia, Daniel Moga et al. · Agronomy · 2020 · 36 citations · Full text
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University of California, Los Angeles
Los Angeles, United States
3 h-index
11 publications
492 citations
University of California, Riverside
Riverside, United States
1 h-index
1 publications
64 citations

Lehigh University
Bethlehem, United States
1 h-index
5 publications
80 citations
Palo Alto Research Center
Palo Alto, United States
1 h-index
2 publications
34 citations
University of Arizona
Tucson, United States
1 h-index
3 publications
54 citations
Technical University of Cluj-Napoca
Cluj-Napoca, Romania
1 h-index
4 publications
144 citations
California Institute of Technology
Pasadena, United States
1 h-index
1 publications
18 citations
Honeywell (United States)
Charlotte, United States
1 h-index
1 publications
56 citations
1–8 of 21
1 publications · 36 citations
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1 publications · 17 citations
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Repository · 1 publications · 18 citations
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1 publications · 20 citations
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1 publications · 11 citations
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