Experimental analysis of received signals strength in Bluetooth Low Energy (BLE) and its effect on distance and position estimation

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  • Fazli Subhan
    Faculty of Engineering and Computer Science National University of Modern Languages (NUML) Islamabad Pakistan
  • Asfandyar Khan
    Institute of Computer Sciences and Information Technology The University of Agriculture Peshawar Pakistan
  • Sajid Saleem
    Faculty of Engineering and Computer Science National University of Modern Languages (NUML) Islamabad Pakistan
  • Shakeel Ahmed
    Faculty of Engineering and Computer Science National University of Modern Languages (NUML) Islamabad Pakistan
  • Muhammad Imran
    Institute of Computer Sciences and Information Technology The University of Agriculture Peshawar Pakistan
  • Zubair Asghar
    Department of Computer Science Gomal University Dera Ismail Khan Pakistan
  • Javed Iqbal Bangash
    Institute of Computer Sciences and Information Technology The University of Agriculture Peshawar Pakistan

説明

<jats:title>Abstract</jats:title><jats:p>Received Signal Strength Indicator (RSSI) is the measurement of the power in the radio signal and a parameter for distance‐based measurements. Bluetooth Low Energy (BLE) is an advance implementation for Internet of Things (IoT). BLE beacons‐based indoor positioning systems provide an easy and energy‐efficient, low deployment cost solution for wide variety of applications including smart phones. This paper presents an in‐depth experimental study of BLE RSSI in a dense indoor environment. Due to noise, fluctuations in RSSI occur, which produces distance estimation error, which ultimately affect position estimation accuracy. The main objective of this paper is to know the variations in RSSI and develop a radio propagation model in order to minimize the distance estimation and position estimation error. Based on our real‐time experimental analysis using BLE modules, there is an average 1.32‐m position estimation error in the presence of 10‐dBm variation in RSSI. Moreover, we also observed that environmental specific radio propagation constants greatly affect distance and position estimation accuracy in BLE modules.</jats:p>

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