Name
Title | ||
|---|---|---|
Energy Efficient Data Collection in Large-scale Internet of Things via Computation Offloading |
Abstract | ||
|---|---|---|
Internet of Things (IoT) can be used to promote many advanced applications by utilizing the sensed data collected from various settings. To reduce the energy consumption of IoT devices, and to extend the lifetime of network, the sensed data are usually compressed before their transmission through compressed sensing theory. By reconstructing the sensed data at the edge of network with more resource... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JIOT.2018.2875244 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Data collection,Clustering algorithms,Compressed sensing,Internet of Things,Partitioning algorithms,Energy consumption,Data models | Data collection,Data modeling,Data transmission,Computer science,Server,Computation offloading,Cluster analysis,Energy consumption,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
6 | 3 | 2327-4662 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guorui Li | 1 | 2 | 1.05 |
| Jingsha He | 2 | 293 | 47.04 |
| Sancheng Peng | 3 | 234 | 19.59 |
| Weijia Jia | 4 | 2656 | 221.35 |
| Cong Wang | 5 | 13 | 9.63 |
| Jianwei Niu | 6 | 1643 | 141.54 |
| Shui Yu | 7 | 2365 | 208.84 |