Abstract
In order to solve the problem that current bluetooth indoor positioning system has low positioning accuracy in dynamic environment and can’t unable to adapt to dealing with complex situation of anchor circle, this paper proposes an adaptive bluetooth indoor positioning system based on greedy strategy. The system uses the deployed bluetooth to intelligently sense the real-time environment and measure the ibeacon signal attenuation model to reduce the ranging error caused by dynamic change of environment. In addition, the three anchor circles of the weighted centroid positioning into three groups and two different anchor circles are one group, and greedy strategy is used for getting the better weighted objects when each group of circles are intersected, or separated, or contained. Finally, the sum of the reciprocal radius of each group of anchor circles is used as the weight to obtain the estimated coordinates of unknown nodes. To verify the effectiveness of the positioning system by case study, the results show that the average error value is 0.60m. Compared with the centroid localization algorithm and weighted centroid algorithm, the system has the advantages of intelligent environment perception, higher positioning accuracy, and adaptive algorithm for dealing with various situations of anchor circle.
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 callDisclaimer: 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.
