Resource-aware Sensing
Resource-Aware Sensing is a distributed sensing paradigm that optimizes the deployment, operation, and data acquisition processes of sensor networks by explicitly accounting for limited system resources such as energy, bandwidth, computational capacity, and time, thereby distinguishing itself through its focus on efficiency and sustainability under resource constraints.
55
Publications
2.9K
Citations
181
Authors
93
Institutions
Publications per year
2017–2026
23
Parents
55
A Survey of Mobile Crowdsensing Techniques
Jinwei Liu, Haiying Shen, Husnu S. Narman et al. · ACM Transactions on Cyber-Physical Systems · 2018 · 200 citations · Full text
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Boston University
Boston, United States
4 h-index
7 publications
319 citations
University of California, Irvine
Irvine, United States
3 h-index
7 publications
391 citations
Stanford University
Stanford, United States
2 h-index
4 publications
400 citations

Southern University of Science and Technology
Shenzhen, China
2 h-index
3 publications
568 citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
44 citations
University of Southern California
Los Angeles, United States
2 h-index
5 publications
123 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
11 publications
240 citations
George Washington University
Washington, United States
2 h-index
5 publications
105 citations
1–8 of 93
2 publications · 93 citations
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JNCA · 2 publications · 43 citations
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1 publications · 256 citations
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2 publications · 39 citations
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2 publications · 64 citations
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