A ZigBee Position Technique for Indoor Localization based on Proximity Learning

被引：0

作者：

Ou, Chung-Wei ^{[1
]}

Chao, Chin-Jung ^{[1
]}

Chang, Fa-Shian ^{[2
]}

Wang, Shun-Min ^{[2
]}

Liu, Guan-Xun ^{[2
]}

Wu, Min-Ren ^{[2
]}

Cho, Kai-Yi ^{[2
]}

Hwang, Lih-Tyng ^{[3
]}

Huan, Yi-Ying ^{[3
]}

机构：

[1] Chung Yuan Christian Univ, Dept Ind & Syst Engn, Chungli 320, Taiwan

[2] Cheng Shiu Univ, Dept Elect, Bird Pine Area, Kaohsiung 804, Taiwan

[3] Natl Sun Yat Sen Univ, Inst Commun Engn, Kaohsiung 804, Taiwan

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2017年

关键词：

Wireless Sensor Network (WSM); ZigBee; Indoor Localization; Reference Node (RN); Blind Node (BN); Positioning Algorithm (PA);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new method of position along with node teaching and placement is proposed. Different from the traditional triangulation position, the proposed method employs a faster computation technique with special proximity learning and placement, which leads to reduced computational time. In position computation, the received signal strength indication (RSSI) values from ZigBee CC2431 modules (by Texas Instruments) were processed. The simple and efficiency position technique can be extended to many applications; for example, the handover mechanism for reference node, position using WSN protocols like Wi-Fi and Bluetooth, and basic indoor navigation.

引用

页码：875 / 880

页数：6

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