EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets
Creators
- 1. Tampere University, Universitat Jaume I
- 2. Tampere University
- 3. Universidade do Minho
- 4. Universitat Jaume I
Description
This is a preprint version of the paper entitled “EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets”, published in IEEE Transactions on Mobile Computing.
Please cite this paper as
L. Klus, R. Klus, J. Torres-Sospedra, E. S. Lohan, C. Granell and J. Nurmi, "EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2023.3277333.
DOI
10.1109/TMC.2023.3277333
Publisher Name
IEEE
License
This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.
Link to publication
https://ieeexplore.ieee.org/document/10128720
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Files
klus2023ewok.pdf
Files
(39.8 MB)
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Additional details
Funding
- A-WEAR – A network for dynamic WEarable Applications with pRivacy constraints 813278
- European Commission
- High-Efficiency Localization and Location-aware Communications in Future Mobile Networks 323244
- Academy of Finland
- Research Infrastructure for Future Wireless Communication Networks / Consortium: FUWIRI 319994
- Academy of Finland
- ORIENTATE – Low-cost Reliable Indoor Positioning in Smart Factories 101023072
- European Commission