A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization
Joint Authors
Pei, Ling
Zhang, Min
Zou, Danping
Chen, Ruizhi
Chen, Yuwei
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-02
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Telecommunications Engineering
Abstract EN
Sensor-rich smartphone enables a novel approach to training the fingerprint database for mobile indoor localization via crowd sensing.
In this survey, we discuss the crowd sensing based mobile indoor localization in terms of foundational knowledge, signals of fingerprints, trajectory of obtaining fingerprints, indoor maps, evolution of a fingerprint database, positioning algorithms, state-of-the-art solutions, and challenges.
The survey concludes that the crowd sensing is a low cost solution of generating and updating an organic fingerprint database.
Although the crowd sensing concept is widely accepted by the academic community in these years, there are a lot of unsolved problems which hinder the concept of transferring into a practical system.
We address the challenges and predict future trends in the end.
American Psychological Association (APA)
Pei, Ling& Zhang, Min& Zou, Danping& Chen, Ruizhi& Chen, Yuwei. 2016. A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1111447
Modern Language Association (MLA)
Pei, Ling…[et al.]. A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization. Mobile Information Systems No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1111447
American Medical Association (AMA)
Pei, Ling& Zhang, Min& Zou, Danping& Chen, Ruizhi& Chen, Yuwei. A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1111447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111447