Task Assignment in Mobile Crowdsensing: Present and Future Directions

被引：101

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

页码：100 / 107

页数：8

共 17 条

[1]

[Anonymous], P IEEE GLOBE COM

[2]

He SB, 2014, IEEE INFOCOM SER, P745, DOI 10.1109/INFOCOM.2014.6848001

[3] Quality-Aware Online Task Assignment in Mobile Crowdsourcing [J].

Kang, Yanrong ;

Miao, Xin ;

Liu, Kebin ;

Chen, Lei ;

Liu, Yunhao .

2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2015, :127-135

[4]

Karaliopoulos Merkouris, 2015, 2015 IEEE Conference on Computer Communications (INFOCOM). Proceedings, P2254, DOI 10.1109/INFOCOM.2015.7218612

[5] TaskMe: Multi-Task Allocation in Mobile Crowd Sensing [J].

Liu, Yan ;

Guo, Bin ;

Wang, Yang ;

Wu, Wenle ;

Yu, Zhiwen ;

Zhang, Daqing .

UBICOMP'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, 2016, :403-414

[6] Spatial Task Assignment for Crowd Sensing with Cloaked Locations [J].

Pournajaf, Layla ;

Xiong, Li ;

Sunderam, Vaidy ;

Goryczka, Slawomir .

2014 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM), VOL 1, 2014, :73-82

[7] Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control [J].

Rodrigues, Tiago Gama ;

Suto, Katsuya ;

Nishiyama, Hiroki ;

Kato, Nei .

IEEE TRANSACTIONS ON COMPUTERS, 2017, 66 (05) :810-819

[8] QoI-Aware Multitask-Oriented Dynamic Participant Selection With Budget Constraints [J].

Song, Zheng ;

Liu, Chi Harold ;

Wu, Jie ;

Ma, Jian ;

Wang, Wendong .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (09) :4618-4632

[9]

To H., 2016, P 3 ACM SIGSPATIAL P, P1

[10] An Efficient Prediction-Based User Recruitment for Mobile Crowdsensing [J].

Wang, En ;

Yang, Yongjian ;

Wu, Jie ;

Liu, Wenbin ;

Wang, Xingbo .

IEEE TRANSACTIONS ON MOBILE COMPUTING, 2018, 17 (01) :16-28

← 1 2 →