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An improved method of self-adaptive localization for wireless sensor network in dynamic indoor environment

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6 Author(s)
Ni Hu-Sheng ; Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China ; Xu Wu-Jun ; Li Yuan-Yuan ; Tao Meng-Yue
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According to the defects of the classic method of received-signal-strength indication (RSSI) for indoor localization, such as the larger location errors and the sensitivity to the dynamic environment, an improved self-adaptive localization method for indoor dynamic environment is proposed. In the improved method, firstly the location errors of beacon nodes are obtained by initial position based on self-amended environment path loss exponent; secondly the coordinates of the blind nodes are calculated by the location errors of beacon nodes which is used as the weights of the weighted node centralized algorithm, and the coordinate errors can be compensated; Finally, the improved method is validated on the WSN platform from NI company, and result shows that the algorithm has a higher positioning accuracy and stability in dynamic indoor environment.

Published in:

Control Conference (CCC), 2012 31st Chinese

Date of Conference:

25-27 July 2012