Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments

Iyad Alshami, Noor Ahmad, Shamsul Sahibuddin, Firdaus Firdaus

Open source

DOI
10.3390/s17081789
Published
2017-08-05
Container
Sensors
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s17081789,
  title = {Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments},
  author = {Iyad Alshami and Noor Ahmad and Shamsul Sahibuddin and Firdaus Firdaus},
  year = {2017},
  journal = {Sensors},
  doi = {10.3390/s17081789},
  url = {https://doi.org/10.3390/s17081789}
}

RIS

TY  - JOUR
TI  - Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments
AU  - Iyad Alshami
AU  - Noor Ahmad
AU  - Shamsul Sahibuddin
AU  - Firdaus Firdaus
PY  - 2017
JO  - Sensors
DO  - 10.3390/s17081789
UR  - https://doi.org/10.3390/s17081789
ER  - 

APA

Alshami, I., Ahmad, N., Sahibuddin, S., & Firdaus, F. (2017). Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments. Sensors. https://doi.org/10.3390/s17081789

Source records