LoRa sensors implementation in forest fire detection
LoRa sensors implementation in forest fire detection
Author(s): Rossitza Goleva, Alexandar Savov, Plamen Draganov, Georgi Yanev, Zhivka Koleva, Ivelin Andreev, Angelin Nedelchev, Peter Peinl, Jugoslav Achkoski, Nikola Kletnikov, Igorche KarafilovskiSubject(s): Social Sciences, Economy, Education, Essay|Book Review |Scientific Life, Higher Education , Conference Report, ICT Information and Communications Technologies
Published by: Нов български университет
Keywords: Forest Fire Detection; ICT and IoT; LORA sensing; Integration; Interoperability; Data sharing; Micro and Macro services
Summary/Abstract: The aim of this work is to show the implementation of LoRa sensors in forest fire detection using fixed and mobile field gateways on watch towers and drones. The implementation of test sensors for particle matters, temperature, humidity, CO and CO2 is demonstrated. The best results are obtained for the sensors for particle matters while data related to the humidity and temperature could support forest fire risk analysis. The drone carries a mobile field gateway allowing collection of the data from sensors of difficult proximity. The concepts are proven in the field and main results are used for better network scaling and coverage planning. In parallel to the field experiments we perform simulation of the network scaling with up to 1000 sensors in clusters. The economic feasibility of the created solutions will be analysed after completion of all tests and simulations.
Journal: Computer Science and Education in Computer Science
- Issue Year: 14/2018
- Issue No: 1
- Page Range: 331-346
- Page Count: 15
- Language: English