Authors: Jiaqi Zhen; Boshen Liu; Yanwei Wang; Yong Liu
Addresses: College of Electronic Engineering, Heilongjiang University, Harbin, 150080, China ' College of Electronic Engineering, Heilongjiang University, Harbin, 150080, China ' Birck Nanotechnology Center, Purdue University, West Lafayette, 47907, USA ' College of Electronic Engineering, Heilongjiang University, Harbin, 150080, China
Abstract: With the popular use of smart mobile terminals, it is possible to locate the mobile terminals. The traditional indoor positioning methods often bring about large errors under the circumstance of interference. In this paper, an improved K-nearest neighbourhood method based on ZigBee wireless sensor network is proposed, it selects K nearest database vectors from the minimum distance, and calculate the average of these coordinates as the final location result. The accuracy of indoor positioning is effectively improved, meanwhile, there is no significant increase of the computing time. The effectiveness of the method has been verified in the end.
Keywords: indoor positioning; ZigBee; K-nearest neighbourhood method; wireless communication; internet of things; wireless sensor network; received signal strength; mesh network; ad-hoc network; database; embedded systems.
International Journal of Embedded Systems, 2020 Vol.13 No.3, pp.292 - 299
Received: 27 Mar 2019
Accepted: 02 Jun 2019
Published online: 30 Sep 2020 *