Indoor Positioning with Reference Nodes Selection in Wireless Networks
Autor: | Yung-Fa Huang, Ching-Chuang Wei, Jong-Shin Chen, Yao-Jen Cheng, You-Ting Jheng, Chuan-Bi Lin, Wen Huang |
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Rok vydání: | 2018 |
Předmět: |
Minimum mean square error
Wireless network business.industry Computer science Node (networking) RSS Triangulation (social science) 020206 networking & telecommunications 02 engineering and technology computer.file_format Weighting 0202 electrical engineering electronic engineering information engineering Global Positioning System business Wireless sensor network Algorithm computer |
Zdroj: | 2018 International Symposium on Computer, Consumer and Control (IS3C). |
DOI: | 10.1109/is3c.2018.00118 |
Popis: | This study explores the indoor positioning in wireless networks. We used the Minimum Mean Square Error (MMSE) algorithm for triangulation positioning with the received signal strength (RSS). Through previous research, it is found that the accuracy of positioning is not only related to the distance between the reference point and the positioning node, but also the variation of the distance between the reference point and the positioning node. It also affects the accuracy. Therefore, considering the distance between the reference point and the positioning node, and the distance variation between the reference points, it is divided into the internal distance variation (IDV) and the external distance variation (EDV). We proposed a reference nodes selection (RNS) with the weighted variation mechanism. Simulation results show that the effective reference improvement can be obtained by the weighting RNS method of the EDV. |
Databáze: | OpenAIRE |
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