Completeness Issues in Mobile Crowd-sensing Environments

Souheir Mehanna, Souheir Mehanna, Zoubida Kedad, Mohamed Chachoua

2020

Abstract

Mobile sensors are being widely used to monitor air quality to quantify human exposure to air pollution. These sensors are prone to malfunctions, resulting in many data quality issues, which in turn impacts the reliability of analytical studies. In this work, we address the problem of data quality evaluation in mobile crowd-sensing environments, and we focus on data completeness. We introduce a multi-dimensional model to represent the data coming from the sensors in this context and we discuss different facets of data completeness. We propose quality indicators capturing different facets of completeness along with the corresponding quality metrics. We provide some experiments showing the usefulness of our proposal.

Paper Citation

in Harvard Style

Mehanna S., Mehanna S., Kedad Z. and Chachoua M. (2020). Completeness Issues in Mobile Crowd-sensing Environments.In Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-478-7, pages 129-138. DOI: 10.5220/0010136201290138

in Bibtex Style

@conference{webist20,
author={Souheir Mehanna and Souheir Mehanna and Zoubida Kedad and Mohamed Chachoua},
title={Completeness Issues in Mobile Crowd-sensing Environments},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2020},
pages={129-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010136201290138},
isbn={978-989-758-478-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Completeness Issues in Mobile Crowd-sensing Environments
SN - 978-989-758-478-7
AU - Mehanna S.
AU - Mehanna S.
AU - Kedad Z.
AU - Chachoua M.
PY - 2020
SP - 129
EP - 138
DO - 10.5220/0010136201290138