TY - GEN
T1 - Performance evaluation of RSSI-based positioning system with low-cost LoRa devices
AU - Sanchez, Christian
AU - Arpi, Braulio
AU - Vazquez-Rodas, Andres
AU - Astudillo-Salinas, Fabian
AU - Minchala, Luis I.
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/11/25
Y1 - 2019/11/25
N2 - Along the last years, we have witnessed the growing demand for services, applications, and systems that depend on the specific location of both people and a variety of things and gadgets. Currently, the Global Positioning System (GPS) offers good accuracy on-location services around the world. Nevertheless, it does not work efficiently on applications that require several small, cheap, and low power devices. Under such conditions, researchers prefer to work with low-cost wireless alternatives such as WiFi, Zigbee, LoRa, Sigfox, among others. The purpose of this work is twofold. Firstly we evaluate the time-measurement and radio frequency capabilities of Pycom LoRa hardware implementation, in order to develop a low-cost and GPS-independent positioning system. Then, with these results, we propose and evaluate a positioning system with LoRa technology and based on the received signal strength indicator. Extensive field test measurements in outdoor rural environments show that we can obtain position estimation errors lesser than around 7% of the maximum distance between anchor nodes.
AB - Along the last years, we have witnessed the growing demand for services, applications, and systems that depend on the specific location of both people and a variety of things and gadgets. Currently, the Global Positioning System (GPS) offers good accuracy on-location services around the world. Nevertheless, it does not work efficiently on applications that require several small, cheap, and low power devices. Under such conditions, researchers prefer to work with low-cost wireless alternatives such as WiFi, Zigbee, LoRa, Sigfox, among others. The purpose of this work is twofold. Firstly we evaluate the time-measurement and radio frequency capabilities of Pycom LoRa hardware implementation, in order to develop a low-cost and GPS-independent positioning system. Then, with these results, we propose and evaluate a positioning system with LoRa technology and based on the received signal strength indicator. Extensive field test measurements in outdoor rural environments show that we can obtain position estimation errors lesser than around 7% of the maximum distance between anchor nodes.
KW - LoRa
KW - Positioning System (PS)
KW - RSSI
KW - TDoA
KW - ToA
UR - https://www.scopus.com/pages/publications/85077467619
U2 - 10.1145/3345860.3361512
DO - 10.1145/3345860.3361512
M3 - Contribución a la conferencia
AN - SCOPUS:85077467619
T3 - PE-WASUN 2019 - Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks
SP - 37
EP - 44
BT - PE-WASUN 2019 - Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks
PB - Association for Computing Machinery, Inc
T2 - 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2019
Y2 - 25 November 2019 through 29 November 2019
ER -