Autors: S. Rizanov., Stoynova, A. V., Todorov, D. G.
Title: A LoRa-based Data Acquisition System for Wildfire Early Detection
Keywords: Data acquisition; Environmental monitoring; Forestry; Simultaneous localization and mapping;Wireless sensor networks

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.



    Lecture Notes in Electrical Engineering/Advances in Computing and Network Communications, issue 735, pp. 261-275, 2021, India, Springer Singapore, DOI 10.1007/978-981-33-6977-1_21/ISBN 978-981-33-6976-4

    Copyright Springer

    Цитирания (Citation/s):
    1. Mateev M., Marinova I., Distributed Internet of Things System for CO2 Monitoring with LoRaWAN, 12th National Conference with International Participation (ELECTRONICA), 2021, pp. 1-5, DOI: 10.1109/ELECTRONICA52725.2021.9513682 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: книга/глава(и) от книга, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus