Incentivize maximum continuous time interval coverage under budget constraint in mobile crowd sensing-Reference-Cited by-同舟云学术

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Incentivize maximum continuous time interval coverage under budget constraint in mobile crowd sensing

Published:2016-03-09 Issue:5 Volume:23 Page:1549-1562
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Xu Jia,Xiang Jinxin,Li Yanxu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Scientific and Technological Support Project of Jiangsu Province

CCF-Tencent Open Research Fund

China Postdoctoral Science Foundation

Jiangsu Postdoctoral Science Foundation

Independent Research Project of Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

NUPTSF

“1311” Talent Project of NJUPT

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/article/10.1007/s11276-016-1244-9/fulltext.html

Reference32 articles.

1. Ganti, R. K., Ye, F., & Lei, H. (2011). Mobile crowdsensing: Current state and future challenges. IEEE Communications Magazine, 49(11), 32–39.

2. Consolvo, S., et al. (2008). Activity sensing in the wild: A field trial of Ubifit Garden. In Proceedings of the 26th annual ACM SIGCHI conference on human factors in computer systems (pp. 1797–1806).

3. Miluzzo, E., et al. (2008). Sensing meets mobile social networks: The design, implementation, and evaluation of the CenceMe Application. In Proceedings of the 6th ACM SenSys (pp. 337–350).

4. Mun, M., et al. (2009). Peir, the personal environmental impact report, as a platform for participatory sensing systems research. In Proceedings of 7th ACM MobiSys (pp. 55–68).

5. Thiagarajan, A., et al. (2009). VTrack: Accurate, energy-aware traffic delay estimation using mobile phones. In Proceedings of the 7th ACM SenSys (pp. 85–98).

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