Opportunistic Sensing
Opportunistic Sensing is a mobile sensing paradigm that opportunistically leverages existing sensor resources and user-driven device usage patterns without requiring dedicated deployment or active user engagement, distinguishing it from traditional proactive or participatory sensing approaches.
313
Publications
16K
Citations
1.1K
Authors
419
Institutions
Publications per year
2017–2026
109
Parents
313
The Rise of People-Centric Sensing
Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane et al. · IEEE Internet Computing · 2008 · 574 citations
Opportunities in mobile crowd sensing
Huadóng Ma, Dong Zhao, Peiyan Yuan · IEEE Communications Magazine · 2014 · 465 citations
Convergence of MANET and WSN in IoT Urban Scenarios
Paolo Bellavista, Giuseppe Cardone, Antonio Corradi et al. · IEEE Sensors Journal · 2013 · 428 citations
1–5 of 313
1.1K
8
h-index
7
h-index
7
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
6 publications · 255 citations
6
h-index
6
h-index
1–5 of 1.1K
419
Dartmouth College
Hanover, United States
8 h-index
30 publications
8.6K citations

Beijing University of Posts and Telecommunications
Beijing, China
8 h-index
19 publications
2.1K citations
University of California, Davis
Davis, United States
7 h-index
11 publications
1.6K citations
University of Southern California
Los Angeles, United States
7 h-index
10 publications
1.1K citations
University of Florida
Gainesville, United States
6 h-index
15 publications
289 citations
ETH Zurich
Zurich, Switzerland
6 h-index
23 publications
1K citations

Imperial College London
London, United Kingdom
6 h-index
11 publications
430 citations
National Research Council
Rome, Italy
6 h-index
15 publications
708 citations
1–8 of 419
9 publications · 640 citations
9
h-index
10 publications · 327 citations
9
h-index
TMCCI · 9 publications · 282 citations
9
h-index
5 publications · 329 citations
5
h-index
5 publications · 797 citations
5
h-index
1–5