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Node Selection, RSSI Correction 기법 및 Genetic Algorithm을 이용한 실내위치결정 정확도 향상에 관한 연구
In this study, Node Selection and RSSI Correction method is introduced and applied in experiment for improving the positioning accuracy. Both of experiment was implemented by using smartphone app to collect Wi-Fi access point signal around. The Wi-Fi signal is popular nowadays and available in most of indoor building environment. By using this kind of signal for collecting and analyzing data, it’s labor cost efficient and there is no requirement to invest more hardware device, therefore the budget is saved. However, the disadvantage of this kind of signal data is the noise from the signal is high, due to the complex in indoor propagation environment and the quality of signal source. In the first method, Node Selection, we proposed the algorithm to find the signal source location by measuring Wi-Fi signal strength at multiple location. This method helps locating the signal Wi-Fi beacon node without effort to find the physical device on real map by approaching directly the device. Then, the known location of the Wi-Fi beacon node is used for positioning user device location. By scanning signal from multiple point, the data is enriched and may contain noise. Node collection method help detection of any measurement RSSI data is not trustful and then removing. The second method, RSSI Collection, this method improve the disadvantage of the first method. The second experiment for the second method was implemented to find the user location by scanning multiple RSSI data from Wi-Fi beacon around. Similar to the Node Selection method, every measurement data is evaluated to be trustful or not. To overcome the disadvantage from the first second, the second method does not remove the beacon node from computing, it correct the RSSI data by RSSI signal. This work help improving the positioning accuracy by several method which does not requires pre-training data or cost investment for additional device, there for it’s useful to implement for any positioning system in any building location.
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