OPTIMAL PLACEMENT FOR INDOOR POSITIONING AND MONITORING SYSTEM IN PUBLIC AREA

被引：0

作者：

Shao, Shijai ^{[1
]}

Tay, Noel ^{[1
]}

Shoo, Nan ^{[1
]}

Kubota, Naoyuki ^{[1
]}

机构：

[1] Tokyo Metropolitan Univ, Grad Sch Syst Design, 6-6 Asahigaoka, Hino, Tokyo 1910065, Japan

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1 | 2017年

关键词：

Indoor Positioning; Monitoring; iBeacon; PSO; GNG;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It has always been a big issue to provide better service at public area. One of the issues is the indoor positioning service. In this paper, we propose an indoor positioning and monitoring system based on the application of personal smart devices and iBeacon technology. Aiming at high accuracy positioning, we proposed optimal iBeacon nodes placement through the topological maps constructed from growing neutral gas. For the positioning algorithm, we chose particle swarm optimization. In our experiment, we have achieved low error rate at 35 cm for motionless target positioning and 1.21 m for moving target.

引用

页码：169 / 174

页数：6

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