Learning Indoor Localization using Radio Received Signal Strength
With this research we will investigate a novel machine learning approach to the prediction of location from received signal strength indicators (RSSI) values obtained from these transmitting access points. Indoor localization has been a long-standing problem in recent times and gaining popularity among researchers. In this research we aim to solve this problem in an indoor environment like office buildings using radio received signals strengths. The most popular approach for positioning has been GPS (Global Positioning System). But we all know that it is inadequate when we consider indoor ...
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