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Heuristics-based Indoor positioning systems: a systematic literature review

Lam, Luan D., Tang, Antony and Grundy, John 2016, Heuristics-based Indoor positioning systems: a systematic literature review, Journal of location based services, vol. 10, no. 3, pp. 178-211, doi: 10.1080/17489725.2016.1232842.

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Title Heuristics-based Indoor positioning systems: a systematic literature review
Author(s) Lam, Luan D.
Tang, Antony
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Journal name Journal of location based services
Volume number 10
Issue number 3
Start page 178
End page 211
Total pages 34
Publisher Taylor and Francis
Place of publication London, Eng.
Publication date 2016
ISSN 1748-9733
Keyword(s) Positioning systems
systematic literature review
heuristics algorithms
indoor environments
Summary Context: Many heuristics-based indoor positioning approaches havebeen developed to enhance positioning estimation. However, thereis no comprehensive survey of these heuristics information and methods. 

Objective: The main objective of this study is to providea holistic view and an in-depth analysis ofwhat heuristics informationand methods have been used, their general achievements andlimitations. This study aims to provide a comprehensive summary tofacilitate further research on indoor positioning heuristics. 

Method: We conducted a systematic literature review (SLR) on indoorpositioning heuristics. 

Results: Ninety-three (93) primary studies wereselected. We found two general types of heuristics informationand four primary heuristics methods, which we summarised in thispaper. We also found that many of these positioning heuristics aretested in experimental settings only. Some heuristics claim practicalapplications but are not tested for the challenging and typical indoorenvironments. 

Conclusion: Most existing heuristics information andmethods rely on the assumptions that may not be true in real life environment, hence limiting the usefulness of the positioning outcomes. Based on the analysis of this SLR, we propose two research directions to enhance positioning estimation.
Language eng
DOI 10.1080/17489725.2016.1232842
Field of Research 080309 Software Engineering
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Informa UK Limited
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086417

Document type: Journal Article
Collection: School of Information Technology
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