Isolated beacon identification using statistical approach

Location-based services (LBS) have an increasing demand for high accuracy but accurate positioning is available only for outdoor areas. Multiple indoor positioning algorithms have been researched and improved to provide better accuracy. For the purpose of the internet of things Bluetooth 4 (BLE) was introduced. However, a Bluetooth 4 signal is highly affected by obstruction attenuation and multipath. Deploying the BLE beacon could impose a significant cost if a large number of beacons need to be employed to avoid the obstacle attenuation and multipath effects. This paper proposes an algorithm to identify a beacon placed in a different room (isolated beacon). The proposed algorithm has a 68% probability of estimating the correct condition with an accuracy of up to 78% for a high attenuation obstruction. By implementing the algorithm, the results show an average accuracy improvement of 48% with RMSE error decreasing from 7.8 metres to 4.64 metres.

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