Spatial Coverage Optimization
Spatial Coverage Optimization is a systematic methodology in distributed sensing that determines the optimal placement and configuration of sensor nodes to maximize the extent and uniformity of monitored physical space while minimizing redundancy and resource expenditure.
114
Publications
3.9K
Citations
438
Authors
248
Institutions
Publications per year
2017–2026
57
Parents
114
Multiple Drone-Cell Deployment Analyses and Optimization in Drone Assisted Radio Access Networks
Weisen Shi, Junling Li, Wenchao Xu et al. · IEEE Access · 2018 · 141 citations · Full text
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TU Dortmund University
Dortmund, Germany
4 h-index
13 publications
412 citations

University of Waterloo
Waterloo, Canada
4 h-index
14 publications
727 citations
Islamic Azad University Sari Branch
Sari, Iran
3 h-index
5 publications
108 citations

Université Laval
Québec, Canada
3 h-index
9 publications
145 citations
Wuhan University
Wuhan, China
3 h-index
7 publications
119 citations
The Ohio State University
Columbus, United States
3 h-index
4 publications
66 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
9 publications
226 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
526 citations
1–8 of 248
5 publications · 243 citations
5
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MRM · 4 publications · 171 citations
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3 publications · 97 citations
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IJGI · 2 publications · 56 citations
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2 publications · 49 citations
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