Paper Info
Title
Dynamic Online User Recruitment With (Non-) Submodular Utility in Mobile CrowdSensing
Abstract
Mobile CrowdSensing (MCS) has recently become a powerful paradigm that recruits users to cooperatively perform various tasks. In many realistic settings, users participate in real time and we have to recruit them in an online manner. The existing works usually formulate the online recruitment problem as a budgeted optimal stopping problem with submodular user utility, while we first argue that not...
Year
DOI
Venue
2021
10.1109/TNET.2021.3083955
IEEE/ACM Transactions on Networking
Keywords
DocType
Volume
Recruitment,Task analysis,Time factors,Sensors,Pricing,Crowdsensing,Heuristic algorithms
Journal
29
Issue
ISSN
Citations 
5
1063-6692
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Wenbin Liu13111.66
Yongjian Yang23914.05
En Wang3218.13
Hengzhi Wang402.37
Zihe Wang525.49
Jie Wu68307592.07