Using ZeeBee Sensor Network with artifical neural network for indoor location

Author

Chen, Rung-Ching ; Lin, Yu-Hsiang

Author_Institution

Dept. of Inf. Manage., Chaoyang Univ. of Technol., Taichung, Taiwan

fYear

2012

fDate

29-31 May 2012

Firstpage

290

Lastpage

294

Abstract

In recent years, the expanding of wireless technologies has applied to position location and context-aware computing. The position location methods are divided into indoor and outdoor types. GPS (Global Position System) is usually used in outdoor location but it was not applied to indoor environment. In this paper, we will propose a new method using ZigBee to perform indoor location tracking. This method uses the value of LQI (Link Quality Indicator) and neural network for indoor position location. Experiment results indicated our proposed method is useful.

Keywords

Global Positioning System; Zigbee; indoor radio; neural nets; ubiquitous computing; GPS; Global Position System; LQI; ZeeBee sensor network; artificial neural network; context aware computing; indoor environment; indoor location tracking; indoor position location; link quality indicator; outdoor location; wireless technology; Neural networks; Radiofrequency identification; Training; Wireless LAN; Wireless communication; Wireless sensor networks; Zigbee; indoor location; lqi; neural network; zigbee;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2012 Eighth International Conference on

Conference_Location

Chongqing

ISSN

2157-9555

Print_ISBN

978-1-4577-2130-4

Type

conf

DOI

10.1109/ICNC.2012.6234591

Filename

6234591