Task Assignment in Mobile Crowdsensing: Present and Future Directions

被引:96
|
作者
Gong, Wei [1 ]
Zhang, Baoxian [2 ]
Li, Cheng [3 ]
机构
[1] Univ Chinese Acad Sci, Comp Sci, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Res Ctr Ubiquitous Sensor Networks, Beijing, Peoples R China
[3] Mem Univ, Fac Engn & Appl Sci, St John, NF, Canada
来源
IEEE NETWORK | 2018年 / 32卷 / 04期
基金
中国国家自然科学基金;
关键词
D O I
10.1109/MNET.2018.1700331
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile crowdsensing has wide application perspectives and tremendous advantages over traditional sensor networks due to its low cost, extensive coverage, and high sensing accuracy properties. Task assignment is a crucial issue in mobile crowdsensing systems which is intended to achieve a good tradeoff between task quality and task cost. The design of efficient task assignment mechanisms has attracted a lot of attention and much work has been carried out. In this article, we present a comprehensive survey of state-of-the-art task assignment mechanisms in mobile crowdsensing systems. We will first introduce several fundamental issues in task assignment and classify existing mechanisms based on different design criteria. Then we introduce how each of the existing mechanisms works and discuss their merits and deficiencies. Finally, we discuss challenging issues and point out some future directions in this area.
引用
收藏
页码:100 / 107
页数:8
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