Multi-Dimensional Urban Sensing in Sparse Mobile Crowdsensing

Sparse mobile crowdsensing (MCS) is a promising paradigm for the large-scale urban sensing, which allows us to collect data from only a few areas (cell selection) and infer the data of other areas (data inference). It can significantly reduce the sensing cost while ensuring high data quality. Recent...

Full description

Bibliographic Details
Main Authors: Wenbin Liu, Yongjian Yang, En Wang, Leye Wang, Djamal Zeghlache, Daqing Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8743361/