Sensor Data Processing
Sensor Data Processing is a systematic computational methodology that transforms raw data streams acquired from physical or environmental sensors into structured, meaningful, and actionable information through filtering, aggregation, feature extraction, and analysis, specifically within distributed edge or Internet of Things (IoT) architectures.
978
Publications
44.5K
Citations
3.4K
Authors
1.1K
Institutions
Publications per year
2017–2026
345
978
The design of an acquisitional query processor for sensor networks
Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein et al. · 2003 · 937 citations
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University of California, Berkeley
Berkeley, United States
15 h-index
33 publications
9.1K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
53 publications
5K citations
ETH Zurich
Zurich, Switzerland
12 h-index
31 publications
2K citations

University of Surrey
Guildford, United Kingdom
12 h-index
32 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
39 publications
1.4K citations
Wuhan University
Wuhan, China
11 h-index
34 publications
867 citations
University of Maryland, College Park
College Park, United States
10 h-index
21 publications
1.9K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
9 h-index
31 publications
2.8K citations
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48 publications · 2K citations
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17 publications · 956 citations
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14 publications · 455 citations
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17 publications · 494 citations
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14 publications · 744 citations
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