When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective

被引：32
|
作者：
Chen, Pin-Yu [1 ]
Cheng, Shin-Ming [3 ]
Ting, Pai-Shun [2 ]
Lien, Chia-Wei [4 ]
Chu, Fu-Jen [5 ]
机构：
[1] Univ Michigan, Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[3] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[4] Amazon Corp LLC, Taipei, Taiwan
[5] Georgia Inst Technol, Robot & Intelligent Machines, Atlanta, GA 30332 USA
来源：
IEEE COMMUNICATIONS MAGAZINE | 2015年 / 53卷 / 10期
关键词：
PRIVACY;
D O I：
10.1109/MCOM.2015.7295478
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Mobile sensing is an emerging technology that utilizes agent-participatory data for decision making or state estimation, including multimedia applications. This article investigates the structure of mobile sensing schemes and introduces crowd-sourcing methods for mobile sensing. Inspired by social networks, one can establish trust among participatory agents to leverage the wisdom of crowds for mobile sensing. A prototype of social-network-inspired mobile multimedia and sensing application is presented for illustrative purposes. Numerical experiments on real-world datasets show improved performance of mobile sensing via crowdsourcing. Challenges for mobile sensing with respect to Internet layers are discussed.
引用
收藏
页码：157 / 163
页数：7
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