A comparative study of Wi-fi and bluetooth for signal strength-based localisation
Author(s)
Ohira, Ryoma J
Sullivan, Tommi
Abotomey, Andrew J
Jo, Jun
Griffith University Author(s)
Year published
2017
Metadata
Show full item recordAbstract
With the growing need for indoor localisation solutions, this paper investigates the practical applications of wireless networking technologies based on the empirical study. By comparing between the two most widely used wireless technologies, aims to identify which technology, between Wi-fi and Bluetooth, is more capable in RSS-based localisation. Field experiments were conducted in order to collect the data to model the propagation of the two technologies. This study demonstrates that, through comparing the derived models to empirical data, Bluetooth has the potential to improve indoor localisation methods due to its more ...
View more >With the growing need for indoor localisation solutions, this paper investigates the practical applications of wireless networking technologies based on the empirical study. By comparing between the two most widely used wireless technologies, aims to identify which technology, between Wi-fi and Bluetooth, is more capable in RSS-based localisation. Field experiments were conducted in order to collect the data to model the propagation of the two technologies. This study demonstrates that, through comparing the derived models to empirical data, Bluetooth has the potential to improve indoor localisation methods due to its more accurate model.
View less >
View more >With the growing need for indoor localisation solutions, this paper investigates the practical applications of wireless networking technologies based on the empirical study. By comparing between the two most widely used wireless technologies, aims to identify which technology, between Wi-fi and Bluetooth, is more capable in RSS-based localisation. Field experiments were conducted in order to collect the data to model the propagation of the two technologies. This study demonstrates that, through comparing the derived models to empirical data, Bluetooth has the potential to improve indoor localisation methods due to its more accurate model.
View less >
Conference Title
ROBOT INTELLIGENCE TECHNOLOGY AND APPLICATIONS 4
Volume
447
Subject
Other information and computing sciences not elsewhere classified