Narrowband IoT Network Self Localization

Abstract

This article proposes a self-localization method for narrowband internet of things (NB-IoT) networks. The proposed system uses the received signal strength indicator (RSSI) with a trilateration algorithm to determine the location of NB-IoT nodes within indoor environments. The adopted path loss model for the indoor environment is in accordance with the fifth-generation (5G) millimeter wave (mm-Wave) standard. The pro-posed method eliminates the need for additional infrastructure or external references, making it efficient and cost-effective. Simulation results are presented to corroborate the accuracy of the proposed technique, and to investigate the impact of different system and channel parameters on the overall performance. Reported results reveal the accuracy of the developed system where an average positioning error of less than 0.2 m is achieved.