Abstract | ||
---|---|---|
•We propose a triple-layer architecture considering the data’s property.•We propose a user selection utilizing data properties in mobile crowdsensing.•We conduct simulations based on a synthetic data set and three real-world traces. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.ins.2019.03.071 | Information Sciences |
Keywords | Field | DocType |
Mobile crowdsensing,User selection,Temporal and spatial constraint,Data property | Data Property,Crowdsensing,Sensing data,Spatial relationship,Greedy algorithm,Mobile device,Synthetic data,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
490 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
En Wang | 1 | 21 | 8.13 |
Yongjian Yang | 2 | 39 | 14.05 |
Kaihao Lou | 3 | 5 | 2.41 |