MobiCrowd: Mobile Crowdsourcing on Location-based Social Networks

被引：0

作者：

Tian, Yulong ^{[1
]}

Wei, Wei ^{[2
]}

Li, Qun ^{[2
]}

Xu, Fengyuan ^{[1
]}

Zhong, Sheng ^{[1
]}

机构：

[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Peoples R China

[2] Coll William & Mary, Dept Comp Sci, Williamsburg, VA 23187 USA

来源：

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2018) | 2018年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The great potential of mobile crowdsourcing has started to attract attention of both industries and the research community. However, current commercial mobile crowdsourcing marketplaces are unsatisfactory because of the limited worker base and functionality. In this paper, we first revisit the foundation of performing mobile crowdsourcing on location-based social networks (LBSNs) through specially designed survey studies and comparison experiments involving hundreds of users. Our results reveal that active check-ins are good indicators of picking a right user to perform tasks, and LBSN could be an ideal platform for mobile crowdsourcing given proper services provided. We then propose both the centralized and decentralized design of MobiCrowd, a mobile crowdsourcing service built on LBSNs. Our evaluation, through trace-driven simulation and real-world experiments, demonstrates that the proposed schemes can effectively find workers for mobile crowdsourcing tasks associated with different venues by analyzing their location check-in histories.

引用

页码：2726 / 2734

页数：9