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 network, 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 purpose. 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.
@article{arxiv.1508.00299,
title = {When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective},
author = {Pin-Yu Chen and Shin-Ming Cheng and Pai-Shun Ting and Chia-Wei Lien and Fu-Jen Chu},
journal= {arXiv preprint arXiv:1508.00299},
year = {2016}
}
Comments
To appear in Oct. IEEE Communications Magazine, feature topic on "Social Networks Meet Next Generation Mobile Multimedia Internet"