Name
Title | ||
|---|---|---|
Administering Quality-Energy Trade-Off in IoT Sensing Applications by Means of Adapted Compressed Sensing. |
Abstract | ||
|---|---|---|
A common scheme to let a very large number of low-resources sensing units communicate their readings to a remote concentrator is to deploy intermediate hubs that collect subsets of readings by means of local communication and perform the needed long-range transmission of a compressed version of the data. We here propose to exploit compressed sensing (CS) as an extremely lightweight lossy compressi... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JETCAS.2018.2846884 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | Field | DocType |
Intelligent sensors,Wireless sensor networks,Compressed sensing,Circuits and systems,Data aggregation | Design strategy,Lossy compression,Intelligent sensor,Computer science,Real-time computing,Wireless sensor network,Data aggregator,Remote concentrator,Compressed sensing,Signal reconstruction | Journal |
Volume | Issue | ISSN |
8 | 4 | 2156-3357 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Mangia | 1 | 125 | 20.94 |
| Alex Marchioni | 2 | 8 | 5.27 |
| Fabio Pareschi | 3 | 226 | 32.16 |
| R. Rovatti | 4 | 402 | 44.72 |
| Gianluca Setti | 5 | 478 | 71.19 |