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Advisor(s)
Abstract(s)
This work investigates the problem of location estimation
in indoor Wireless Sensor Networks (WSN) where precise, discrete and
low-cost independent self-location is a critical requirement. The indoor
scenario makes explicit measurements based on specialised location hardware,
such as the Global Navigation Satellite System (GNSS), difficult
and not practical, because RF signals are subjected to many propagation
issues (reflections, absorption, etc.). In this paper, we propose a low-cost
effective WSN location solution. Its design uses received signal strength
for ranging, lightweight distributed algorithms for location computation,
and the collaborative approach to delivering accurate location estimations
with a low number of nodes in predefined locations. Through real
experiments, our proposal was evaluated and its performance compared
with other related mechanisms from literature, which shows its suitability
and its lower average location error almost of the time.
Description
Keywords
Indoor location Beacon ESP8266 Mobile application
Citation
Mendes, Andre C.; Diaz-Cacho, Miguel (2021). Indoor location estimation based on diffused beacon network. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 294-308. ISBN 978-3-030-91884-2
Publisher
Springer Nature