research-article

Quantitative comparison of indoor positioning on different densities of WiFi arrays in a single environment

Authors:

Scott BellAuthors Info & Claims

ISA '13: Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness

Pages 29 - 36

https://doi.org/10.1145/2533810.2533816

Published: 05 November 2013 Publication History

Abstract

Location Based Services (LBS), which are supported by ubiquitous location finding and positioning information, have become increasingly popular. These services are integrated with various wireless technologies (i.e. cellular, WiFi, and Bluetooth) on mobile devices that establish necessary location information. While each of these technologies contributes to the integration, development and success of LBSs, WiFi has been the most widely employed as an alternative to the Global Positioning System (GPS). Several commercial WiFi-based positioning systems (WPS) are available to the public to extend positioning coverage to places where GPS is unreliable or unavailable; however, these commercial WPSs often fail to deliver GPS-like positioning. The coarse positioning accuracy of commercial WPSs may be caused by unreliable or unsecured databases, which contain the essential WiFi-array information to produce local positioning. Knowing this, the quality of WiFi-based positioning services can be enhanced by improving the quality of a database with well-surveyed and accurate information. The Saskatchewan Enhanced positioning System (SaskEPS) is designed to reduce common errors in WPS. SaskEPS's positioning accuracy and consistency is supported by a thoroughly validated Access Point (AP) database. It has been tested in several buildings at the University of Saskatchewan and successfully provides GPS-like positioning accuracy. Our tests have also begun to elucidate the role of WiFi density in ensuring GPS-like positioning accuracy in indoor spaces. In this paper, we investigate the quantitative relationship between WiFi density and SaskEPS's overall positioning accuracy.

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Cited By

Caesar MSteffan J(2019)A Location Privacy Analysis of Bluetooth MeshProceedings of the 14th International Conference on Availability, Reliability and Security10.1145/3339252.3340507(1-7)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3339252.3340507
Hölzl MNeumeier ROstermayer G(2018)Localization in an industrial environmentInternational Journal of Distributed Sensor Networks10.1155/2015/5679762015(152-152)Online publication date: 23-Dec-2018
https://dl.acm.org/doi/10.1155/2015/567976
Yamamoto DTanaka RKajioka SMatsuo HTakahashi NBanaei-Kashani FHoel EGüting RTamassia RXiong L(2018)Global map matching using BLE beacons for indoor route and stay estimationProceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3274895.3274918(309-318)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3274895.3274918

Index Terms

Quantitative comparison of indoor positioning on different densities of WiFi arrays in a single environment
1. Applied computing
  1. Operations research
    1. Decision analysis
2. Information systems
  1. Information systems applications
    1. Decision support systems

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Information & Contributors

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Published In

cover image ACM Conferences

ISA '13: Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness

November 2013

59 pages

ISBN:9781450325264

DOI:10.1145/2533810

Editors:
Martin Tomko
University of Melbourne, Australia
,
Scott Bell
University of Saskatchewan, Canada
,
Ki-Joune Li
Pusan National University, South Korea

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGSPATIAL: ACM Special Interest Group on Spatial Information

In-Cooperation

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2013

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Funding Sources

Canadian National Centres for Excellence, GEOIDE
Canada Foundation for Innovation

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SIGSPATIAL'13

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SIGSPATIAL

SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 5, 2013

florida, Orlando

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Overall Acceptance Rate 5 of 7 submissions, 71%

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Cited By

Caesar MSteffan J(2019)A Location Privacy Analysis of Bluetooth MeshProceedings of the 14th International Conference on Availability, Reliability and Security10.1145/3339252.3340507(1-7)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3339252.3340507
Hölzl MNeumeier ROstermayer G(2018)Localization in an industrial environmentInternational Journal of Distributed Sensor Networks10.1155/2015/5679762015(152-152)Online publication date: 23-Dec-2018
https://dl.acm.org/doi/10.1155/2015/567976
Yamamoto DTanaka RKajioka SMatsuo HTakahashi NBanaei-Kashani FHoel EGüting RTamassia RXiong L(2018)Global map matching using BLE beacons for indoor route and stay estimationProceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3274895.3274918(309-318)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3274895.3274918

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