Abstract
Due to the increasing development of wireless sensor network, localization using fingerprint has particular importance, Which includes database called Receive Signal Strength (RSS) vectors as the basis of indoor positioning, In this paper a clustering method called affinity propagation used for clustering datapoints, And then in the online phase, coarse localization and fine localization is utilized, in coarse localization an adaptive method is used with exemplars, eventually in fine localization the similarity of nearest neighbor and k-nearest neighbors is applied. Finally, the simulation results show the improvement of our theory compared with the methods of without clustering.
Sign-in/Register to access full text options 
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: International Journal of Scientific Engineering and Technology
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.
