Data Compression for Sensor Networks is a methodological framework within IoT sensor systems that reduces the volume of data transmitted across networked sensors by eliminating redundancy and preserving essential information, thereby optimizing energy consumption and bandwidth utilization in resource-constrained environments.
471
Publications
22K
Citations
1.1K
Authors
468
Institutions
Publications per year
2017–2026
125
Parents
Publications
471
A wireless sensor network For structural monitoring
Ning Xu, Sumit Rangwala, Krishna Chintalapudi et al. · 2004 · 1.1K citations
Compressed Sensing for Networked Data
Jarvis Haupt, Waheed U. Bajwa, Michael Rabbat et al. · IEEE Signal Processing Magazine · 2008 · 547 citations
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Institutions
468
University of California, Berkeley
Berkeley, United States
13 h-index
36 publications
5.7K citations
University of Southern California
Los Angeles, United States
11 h-index
24 publications
2K citations
Centre National de la Recherche Scientifique
Paris, France
11 h-index
20 publications
939 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
9 h-index
25 publications
562 citations
Nanyang Technological University
Singapore, Singapore
7 h-index
15 publications
914 citations
University of Padua
Padua, Italy
7 h-index
20 publications
1.3K citations
Politecnico di Milano
Milan, Italy
7 h-index
25 publications
745 citations
University of Babylon
Hillah, Iraq
6 h-index
12 publications
635 citations
1–8 of 468
Venues
- IEEE Sensors Journal
12 publications · 380 citations
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- Sensors
14 publications · 362 citations
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- IEEE Transactions on Wireless Communications
10 publications · 417 citations
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- Ad Hoc Networks
10 publications · 433 citations
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- Computers & Electrical Engineering
8 publications · 250 citations
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