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2021 | OriginalPaper | Buchkapitel

A LoRa-Based Data Acquisition System for Wildfire Early Detection

verfasst von : Stefan Rizanov, Anna Stoynova, Dimitar Todorov

Erschienen in: Advances in Computing and Network Communications

Verlag: Springer Singapore

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Abstract

A new original LoRa-based data acquisition system for wildfire detection is developed and presented. The emphasis in the paper is pointed towards hardware design concepts, physical system architecture, and implementation as well as embedded firmware structural details and algorithms. The main purpose of the proposed design is to propose techniques whose goals are to improve upon existing WSN fire hazard detection system designs by reducing the end-device power consumption. These techniques and the data analytical steps are described in detail, and evaluation on the basis of testing of their overall system performance improvement has been shown.

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Titel: A LoRa-Based Data Acquisition System for Wildfire Early Detection
verfasst von: Stefan Rizanov
Anna Stoynova
Dimitar Todorov
Verlag: Springer Singapore
Buch: Advances in Computing and Network Communications
Print ISBN: 978-981-336-976-4

Electronic ISBN: 978-981-336-977-1

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-33-6977-1_21

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