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Vol. 158, Issue 11, November 2013, pp. 338-343

 

Bullet

 

A Novel Interpolation Fingerprint Localization Supported by Back Propagation Neural Network
 
1 Jianqi LIU, 2,* Huaping ZHOU, 1 Cuisong CHEN

1 College of Information Engineering, Guangdong Jidian Polytechnic, Guangzhou, China

2 Faculty of Computer Science & Engineering, Anhui University of Science and Technology, HuaiNan, China
E-mail: liujianqi@ieee.org, hpzhou@aust.edu.cn

 

Received: 9 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems

 

Abstract: In view of people's increasing demand for location-aware service, high-accuracy indoor localization has been considered the top priority of location-based service (LBS), therefore, the compact and cost-effective ZigBee technology with low power dissipation will undoubtedly be taken as one of the options for indoor localization within small area. As the accuracy cannot satisfy the application requirement, traditional localization ZigBee-based algorithm is abandoned gradually. This paper proposes a novel ZigBee-based indoor fingerprint localization algorithm and optimizes it through back propagation neural network (BPNN) interpolation method. Simulation result shows that this algorithm can significantly reduce the number of fingerprints and improve localization accuracy.

 

Keywords: Location fingerprint, ZigBee, BPNN, Location-aware.

 

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