Data Fusion and Alignment for Location-Aware Crowdsourcing Applications

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
PublisherIEEE
ISBN (Electronic)978-1-7281-2376-9
Publication statusPublished - Nov 2019

Publication series

NameIEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN

Conference

Title2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019
PlaceUnited States
CityNewark
Period11 - 14 November 2019

Abstract

As an emerging technique, crowdsourcing has drawn people's great attention in recent years. The crowdsourced data, however, can hardly be fused easily to enable usable applications for the reason that the data are collected by different users, in different locations, at different time, with different noises and distortions. Although different crowdsourcing services have proposed different data fusing methods, we find that they may not fully leverage the data collected from multiple dimensions that can potentially lead to a better fusion result. In order to harness this opportunity, we propose a more general solution, which can fuse the multi-dimension crowdsourced data together and align them with the consistent time and location stamps by using the features of the sensory data only, and thus can provide a high-quality crowdsourcing service from the raw data samplings collected from the environment. We conduct evaluations and experiments using different commercial smart phones to verify the effectiveness of our proposed method.

Research Area(s)

  • Crowdsourcing, data fusion, location-awareness

Citation Format(s)

Data Fusion and Alignment for Location-Aware Crowdsourcing Applications. / Jiang, Yonghang; Liu, Yang; Li, Zhenjiang.

2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2019. 8935689 (IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review