When crowdsourcing meets mobile sensing: a social network perspective

Author

Pin-Yu Chen ; Shin-Ming Cheng ; Pai-Shun Ting ; Chia-Wei Lien ; Fu-Jen Chu

Author_Institution

Univ. of Michigan, Ann Arbor, MI, USA

Volume

53

Issue

10

fYear

2015

fDate

10/1/2015 12:00:00 AM

Firstpage

157

Lastpage

163

Abstract

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 crowdsourcing 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.

Keywords

Internet; decision making; mobile computing; multimedia computing; social networking (online); state estimation; Internet layers; agent-participatory data; crowdsourcing methods; decision making; mobile sensing schemes; multimedia applications; social network; social-network-inspired mobile multimedia; state estimation; Crowdsourcing; Mobile communication; Mobile computing; Multimedia communication; Robot sensing systems; Social network services; Wireless sensor networks;

fLanguage

English

Journal_Title

Communications Magazine, IEEE

Publisher

ieee

ISSN

0163-6804

Type

jour

DOI

10.1109/MCOM.2015.7295478

Filename

7295478