Everywhere: A Framework for Ubiquitous Indoor Localization Article Swipe
Ahmed Mansour
,
Junhua Ye
,
Yaxin Li
,
Huan Luo
,
Jingxian Wang
,
Duojie Weng
,
Wu Chen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jiot.2022.3222003
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jiot.2022.3222003
Smartphones have become an integral part of daily human life and enable almost unlimited coverage of human mobility. Thus, collecting pervasive crowdsourced signatures is feasible. Autonomous localization of such signatures promotes the development of a self-deployable and ubiquitous indoor positioning system (IPS). However, previous crowdsourcing-based IPSs have not considered leveraging such data for developing ubiquitous IPSs. They have relied on methods for data selection and sources for localization adjustment that could work against realizing a ubiquitous system. In contrast, this study introduces a framework Everywhere that leverages crowdsourced data to develop a ubiquitous IPS and addresses existing challenges while developing such systems. Particularly, inertial data selection criteria are proposed to autonomously generate traces with better localization. Moreover, pervasive global navigation satellite system (GNSS) data are leveraged to adjust trace localization, while simultaneously introducing a deploying location (inside elevators) of one anchor node. The node surveys all the floors while reducing the localization error, especially for the buildings surrounded by GNSS-denied areas. Additionally, cumulative data densification is leveraged to realize pervasive resources within the building, thereby boosting trace adjustment and extending database spatial coverage. Furthermore, a better selection of neighboring fingerprints is proposed to enhance online fingerprinting. Such a framework can promote a ubiquitous IPS development for buildings regardless of whether they are surrounded by open sky or GNSS-denied areas.
Related Topics
Concepts
Computer science
GNSS applications
Ubiquitous computing
Crowdsourcing
TRACE (psycholinguistics)
Node (physics)
Global Positioning System
Real-time computing
Sensor fusion
Distributed computing
Human–computer interaction
Artificial intelligence
Telecommunications
World Wide Web
Engineering
Structural engineering
Philosophy
Linguistics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jiot.2022.3222003
- OA Status
- green
- Cited By
- 20
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312835433
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312835433Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jiot.2022.3222003Digital Object Identifier
- Title
-
Everywhere: A Framework for Ubiquitous Indoor LocalizationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-15Full publication date if available
- Authors
-
Ahmed Mansour, Junhua Ye, Yaxin Li, Huan Luo, Jingxian Wang, Duojie Weng, Wu ChenList of authors in order
- Landing page
-
https://doi.org/10.1109/jiot.2022.3222003Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://ira.lib.polyu.edu.hk/bitstream/10397/99374/1/Mansour_Everywhere_Framework_Ubiquitous.pdfDirect OA link when available
- Concepts
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Computer science, GNSS applications, Ubiquitous computing, Crowdsourcing, TRACE (psycholinguistics), Node (physics), Global Positioning System, Real-time computing, Sensor fusion, Distributed computing, Human–computer interaction, Artificial intelligence, Telecommunications, World Wide Web, Engineering, Structural engineering, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 6, 2023: 8, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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