An Extended Comparison of RSSI-based Position Estimation Algorithms for LoRa Devices

Our society is ever increasingly close to a technological environment in which the Internet of Things (IoT) is applied ubiquitously. In this context, real time monitoring is a basic requirement for viable investments. To take advantage from this communication systems, some position estimation algori...

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Bibliographic Details
Main Authors: Morao De Oliveira, Luis Felipe Borges, Figueiro Costa, Joao Deluca, De Carvalho Fontes, Joao Vitor
Format: Conference Proceeding
Language:English
Subjects:
Computers
Estimation
Internet of Things
Localization
LoRa
Real-time systems
RSSI
Sensor systems
Sensors
trilateration
Weight measurement
Online Access:Request full text
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Summary:Our society is ever increasingly close to a technological environment in which the Internet of Things (IoT) is applied ubiquitously. In this context, real time monitoring is a basic requirement for viable investments. To take advantage from this communication systems, some position estimation algorithms can be applied with other sensors, like GPS, making position estimation more efficient and inexpensive. In this manner, looking for methods that can be precise with high accuracy, four trilateration algorithms based on Received Signal Strength Indicator (RSSI) were compared. This complete evaluation was based on Long Range technology (LoRa), as this new technology is already widely applied in Internet of Things.
ISSN:2642-7389
DOI:10.1109/ISCC53001.2021.9631524