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Communication Dans Un Congrès Année : 2015

BLE Localization using RSSI Measurements and iRingLA

Résumé

Over the last few years, indoor localization has been a very dynamic research area that has drawn great attention. Many methods have been proposed for indoor positioning as well as navigation services. A big number of them were based on Radio frequency (RF) technology and Radio Signal Strength Indicator (RSSI) for their simplicity of use. The main issues of the studies conducted in this field are related to the improvement of localization factors like accuracy, computational complexity, easiness of deployment and cost. In our study, we used Bluetooth Low Energy (BLE) technology for indoor localization in the context a smart home where an elderly person can be located using an hybrid system that combines the radio, light and sound information. In this paper, we propose a model that averages the received signal strength indication (RSSI) at any the distance domain which offered accuracy down to 1 meter, depending on the deployment configuration.
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Dates et versions

hal-01387824 , version 1 (26-10-2016)

Identifiants

Citer

Adel Thaljaoui, Thierry Val, Nejah Nasri, Damien Brulin. BLE Localization using RSSI Measurements and iRingLA. IEEE International Conference on Industrial Technology (ICIT 2015), Mar 2015, Seville, Spain. pp.2178-2183, ⟨10.1109/ICIT.2015.7125418⟩. ⟨hal-01387824⟩
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