Most Accurate Algorithms for RSS-based Wi-Fi Indoor Localisation

被引:0
|
作者
Fudickar, Sebastian [1 ]
Valentin, Markus [1 ]
机构
[1] Univ Potsdam, Inst Comp Sci, Potsdam, Germany
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Since Wi-Fi transceivers are available in most hand-held devices, they are well suited for indoor localisation. This article analyses the relevance of thirteen factors of model-based received signal strength indoor-localisation algorithms on localisation accuracies and identifies for each of these factors algorithms or parameter-settings that achieve high position accuracy. In order to assure the results' meaningfulness and comparability, these factors' optima have been identified via trace-driven empirical studies. By comparing position accuracies of the optimised optLoc localisation algorithm and of the Radar algorithm, a significant increase of accuracy was shown. In case of the optLoc algorithm, error distances dropped by ca. 1m and localisation-error rates decreased also significantly. In addition, the article studies energy efficiency of Wi-Fi based indoor localisation and identifies the most energy efficient approach.
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收藏
页码:38 / 47
页数:10
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