Long range wide area network (LoRaWAN) and its applications in monitoring smart farms and forests
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Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Fires in forests and agricultural systems have devastating impacts and adversely affect
human and animal lives, the economy, and the environment. The recent growth of IoT usecases in a wide array of industrial, utility and environmental applications has necessitated
the need for connectivity solutions with diverse requirements. We study the fundamentals
and design principles of LPWAN technologies pertain to wireless networks tailored for lowpower gadgets that demand broad coverage over a considerable distance, with LoRaWAN
serving as a prime example."LPWAN technologies in both licensed and unlicensed bands
have been considered to provide connectivity to a high density of devices over larger
coverage areas. We design, implement, and test a fire detection system for forests and farms
based on LoRaWAN technology. The proposed system offers more accurate fire detection
capability in terms of determining actual fire presence and determining the position of fire.
Also, the proposed design can detect fires under a higher number of possible conditions
compared to other designs.
Açıklama
Anahtar Kelimeler
Low-Power Wide-Area Networks, Internet of Things, LoRaWAN, Network Simulation
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Mohammed, S. A. M. (2023). Long range wide area network (LoRaWAN) and its applications in monitoring smart farms and forests. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
