Kurnaz Türkben, AyçaMohammed, Sameer Ahmed Mohammed2023-12-212023-12-2120232023Mohammed, 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.https://hdl.handle.net/20.500.12939/4322Fires 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.eninfo:eu-repo/semantics/closedAccessLow-Power Wide-Area NetworksInternet of ThingsLoRaWANNetwork SimulationLong range wide area network (LoRaWAN) and its applications in monitoring smart farms and forestsMaster Thesis