Abstract
This paper presents a kind of using Wi-Fi location fingerprint to locate the interior regions of the weighted Bayesian algorithm based on the strongest AP method. The algorithm locates the regions with the strongest AP signal by voting according to the distribution rule of the online data, and then uses the weighted Bayesian algorithm to locate. The experimental scene is a typical “aisle” interior region, through the data measured and algorithm matching. The results show that compared with the Bayesian algorithm, the weighted Bayesian algorithm based on the strongest AP method has higher positioning precision and accuracy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
