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Start date: 2020End date: 2026Author: search.filters.author.Soyak, Ece GelalAuthor: search.filters.author.Caliskan, Bahadir CanHas files: NoSubject: search.filters.subject.Engineering, Electrical & Electronic

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    Low-Powered Agriculture IoT Systems with LoRa
    (IEEE, 2020) Kokten, Esma; Caliskan, Bahadir Can; Karamzadeh, Saeid; Soyak, Ece Gelal; Aboltins, A; Litvinenko, A; Bahcesehir University; Bahcesehir University
    Monitoring is key to increase the efficiency of food storage in the open field in terms of cost, logistics and quality of the crops. For the long range data transmission in such environments, mobile technologies are not suitable, as the end devices are generally battery-limited. In this work, a prototype has been developed for monitoring goods in storage. The battery life time of this prototype is analysed in terms of calculations as well as measurements, on LoRa technology. Our results show that (i) while sleeping current has the smallest percentage, it has the greatest impact in increasing battery life, (ii) monitoring node shall have low self discharge battery for long battery life, and (iii) sensors are the main power sink that deplete battery.
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    Low-Power Agriculture IoT System with LoRa: Open Field Storage Observation
    (RTU PRESS, 2021) Kokten, Esma; Caliskan, Bahadir Can; Karamzadeh, Saeid; Soyak, Ece Gelal; Bahcesehir University; Bahcesehir University; Bahcesehir University
    The last decade has seen multiple research work on the use of LoRaWAN technology in smart agriculture. In open field storage, monitoring is crucial for increasing the logistics efficiency and improving crop quality. As battery maintenance is expensive in such areas, LoRa is a suitable technology that allows for low-power communications. Within the framework of the research, a prototype has been built for tracking goods in open field storage. The battery lifetime has been analysed through calculations and measurements using LoRa communications. Our findings indicate that although sleeping current has the smallest percentage, it has the greatest effect on increasing the battery life, for longer battery life LoRa node must have a low self-discharge battery, and finally, sensors are the main battery depleting factor on the LoRa node.