Name
Abstract | ||
|---|---|---|
Mobile crowdsensing has become a significant sensing technique which takes advantage of mobile devices to collect information about the surrounding. The traditional cloud-based centralized mobile crowdsensing architecture generates significant traffic on networks and computation burden on the cloud. In this paper, we investigate the edge-based mobile crowdsensing architecture, where a group of mob... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNSM.2021.3073375 | IEEE Transactions on Network and Service Management |
Keywords | DocType | Volume |
Servers,Crowdsensing,Sensors,Approximation algorithms,Computer architecture,Task analysis,Employment | Journal | 18 |
Issue | ISSN | Citations |
3 | 1932-4537 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongming Luan | 1 | 3 | 2.74 |
| En Wang | 2 | 21 | 8.13 |
| Wenbin Liu | 3 | 31 | 11.66 |
| Yongjian Yang | 4 | 39 | 14.05 |
| Jie Wu | 5 | 8307 | 592.07 |