New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization
- Submitting institution
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London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 275351
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2019.2932024
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 104462
- Volume
- 7
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8781768
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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A - The BioEngineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Location fingerprinting technique is one of the most suggested methods for indoor positioning. The unique contribution of this paper is the proposal of two novel cost-effective recovery methods that predict the received signal strength of omitted reference points and build a reconstructed version of the database. This paper is related to the funded EPSRC grant on wireless sensors for the reduction of energy use in indoor environments (EP/K002473/1, £911k, “Digital Agent Networking for Customer Energy Reduction (DANCER)”, 2012-2017) and is one of the outcomes of the research collaboration between LSBU and Beheshti University in Tehran.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -