A Hybrid Approach for Improving the Data Quality of Mobile Phone Sensing
Joint Authors
Min, Hong
Heo, Junyoung
Scheuermann, Peter
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Few studies have researched the temporal and spatial effects of insufficient exposure of sensors in mobile phone sensing.
In this paper, the missing data problem in mobile phone sensing is addressed by using a hybrid approach to design an estimation model.
This estimation model reflects the effects of participatory and opportunistic nodes based on the success probability model.
The proposed model considers the spatial and temporal correlation of sensing data to accurately estimate the missing information.
By applying the linear regression and linear interpolation models to sample data from neighboring nodes of the missing data, the spatial and temporal context can be described.
The experiment results show that the proposed model can estimate the missing data accurately in terms of simulated and real-world datasets.
American Psychological Association (APA)
Min, Hong& Scheuermann, Peter& Heo, Junyoung. 2013. A Hybrid Approach for Improving the Data Quality of Mobile Phone Sensing. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-498031
Modern Language Association (MLA)
Min, Hong…[et al.]. A Hybrid Approach for Improving the Data Quality of Mobile Phone Sensing. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-498031
American Medical Association (AMA)
Min, Hong& Scheuermann, Peter& Heo, Junyoung. A Hybrid Approach for Improving the Data Quality of Mobile Phone Sensing. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-498031
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498031