In-network Processing
In-Network Processing is a computational paradigm in distributed sensor networks where data aggregation, filtering, or analysis is performed within the network by intermediate sensor nodes rather than at a centralized sink, thereby reducing communication overhead and enabling efficient resource utilization in wireless and IoT sensor environments.
263
Publications
26.8K
Citations
758
Authors
264
Institutions
Publications per year
2017–2026
39
263
Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin · 2000 · 5.4K citations
Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein et al. · ACM SIGOPS Operating Systems Review · 2002 · 2.7K citations
Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein et al. · 2002 · 1.1K citations
1–5 of 263
758
10
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7
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7
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6
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264
University of California, Los Angeles
Los Angeles, United States
11 h-index
26 publications
9.6K citations
University of California, Berkeley
Berkeley, United States
10 h-index
30 publications
14.3K citations
University of Southern California
Los Angeles, United States
7 h-index
11 publications
1.7K citations

Pennsylvania State University
State College, United States
7 h-index
12 publications
1.1K citations

Harvard University Press
Cambridge, United States
5 h-index
16 publications
1.1K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
15 publications
290 citations
ETH Zurich
Zurich, Switzerland
5 h-index
12 publications
676 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
3K citations
1–8 of 264
TMCCI · 5 publications · 785 citations
5
h-index
5 publications · 115 citations
5
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4 publications · 726 citations
4
h-index
4 publications · 719 citations
4
h-index
4 publications · 248 citations
4
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