Abstract
The performance of range-free localization is vulnerable to change of connectivity information. To solve the problem, we propose a Kalman-based mobility tracking algorithm combined with range-free localization under a realistic device distribution. We considered a large indoor environment of a real shopping mall for the performance evaluation. To simulate the real propagation scenario, the radio irregularity was applied on the map of the shopping mall according to the location of devices. We demonstrate that the Kalman-based mobility tracking with range-free measurements outperforms the range-free only localization algorithm. Various factors such as the device distribution density, radio irregularity, and communication range influencing the tracking performance was analyzed.
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 callSimilar Papers
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.
