Abstract—Requirements on high-quality indoor localization
approaches and the increase in ubiquitous computing and
context-dependent have led to an emphasis on a continuous
search for promising localization technologies and techniques.
Typical RF-Based localization technologies such as Cellular,
RFID, Bluetooth, Wi-Fi, Zigbee, and UWB have been
widespread studied over the past decades. Recently, LoRa
communication technology has suggested as a potential
alternative to those of exiting wireless communication
standards with low power consumption and low
implementation costs. This paper therefore presents an indoor
localization technique through the use of Received Signal
Strength Indicator (RSSI) of LoRa Technology. The LoRa chip
from SEMTECH was implemented on a compact board with
built-in antenna. The Arduino microcontroller was employed
as a core processor with a step-down switching regulator. Five
sets of LoRa nodes were implemented and four of which were
utilized as statistic nodes, radiating a signal power from 5-
meter high from the floor. The receiving node is placed in a
particular coordinate on the floor. The RSS values were
employed as inputs for Artificial Neural Network (ANN) for
estimation of the coordinate of the receiving node. The
accuracy was approximately 95%. The result provides
satisfactory accuracy with cost-effective and low-power
operation as for an alternative for large scales deployments of
indoor localization.
Index Terms—Indoor localization, LoRa technology,
received signal strength indicator, artificial neural network.
The authors are with Center of Excellence in Intelligent Systems
Integration (CoE-ISI) of Engineering, Thai-Nichi Institute of Technology
(TNI), Thailand, 10250 (e-mail: mu.sittikorn_st@tni.ac.th,
wimol@tni.ac.th).
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Cite: Sittikorn Muekdang and Wimol San-Um, "Intelligent RF-Based Indoor Localization through RSSI of
LoRa Communication Technology," International Journal of Future Computer and Communication vol. 7, no.4, pp. 79-85, 2018.
