Poster: SensingGO - Toward mobile/cellular data measurement with social and rewarding activities

Yi Hao Lin, Jyh-Cheng Chen*, Chih Yu Lin, Bo Yue Su, Pei Yu Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Mobile Crowd Sensing (MCS) is a promising paradigm to collect large-scale network data globally. However, how to motivate people to collect and share data is a challenge. We believe the major reason why many MCS systems are not pervasive is because there are no incentives for people to use them. In this paper, we present SensingGO, a system which encourages people to keep sensing data by integrating incentive mechanisms. The sensed data are then transmitted to our backend server. The data we collected and the source code of SensingGO are open to anyone freely. We also demonstrate the analysis of real mobile data collected from SensingGO.

Original languageEnglish
Title of host publicationMobiCom 2018 - Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery
Pages765-767
Number of pages3
ISBN (Electronic)9781450359030
DOIs
StatePublished - 15 Oct 2018
Event24th Annual International Conference on Mobile Computing and Networking, MobiCom 2018 - New Delhi, India
Duration: 29 Oct 20182 Nov 2018

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference24th Annual International Conference on Mobile Computing and Networking, MobiCom 2018
CountryIndia
CityNew Delhi
Period29/10/182/11/18

Keywords

  • mobile applications and services
  • Mobile crowd sensing

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