Title: The improved indoor localisation algorithm based on wireless sensor network

Authors: Zengwei Zheng; Jin Lv; Chen Li; Lin Sun; Jianzhong Wu; Jianping Cai; Min-Yi Guo

Addresses: Zhejiang University City College, Hangzhou, China ' Zhejiang University City College, Hangzhou, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, China ' Zhejiang University City College, Hangzhou, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, China ' College of Computer Science and Technology, Zhejiang University City College, Hangzhou, China ' Zhejiang University City College, Hangzhou, China ' Zhejiang University City College, Hangzhou, China ' Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, China

Abstract: Many sensor network applications require location awareness. In this paper, an improved positioning algorithm based on fingerprinting is presented in indoor environment. The improved algorithm compared to the traditional fingerprint recognition algorithm does not require offline fingerprint collection. The improved algorithm is robust in complex indoor environment and it can effectively deal with the situation of the failure of the beacon node. And when there are new nodes added to the wireless sensor network, the algorithm will make use of the new nodes by generating new fingerprints to ensure the positioning performance of the algorithm.

Keywords: wireless sensor network; indoor localisation; distributed database.

DOI: 10.1504/IJCSE.2017.087400

International Journal of Computational Science and Engineering, 2017 Vol.15 No.3/4, pp.322 - 329

Received: 27 Aug 2015
Accepted: 14 Nov 2015
Published online: 15 Oct 2017 *

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