Biyosistem Mühendisliği Bölümü Koleksiyonu

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Browsing Biyosistem Mühendisliği Bölümü Koleksiyonu by Author "Mercanli, Ali Selcuk"

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    The Impact of Greenhouse Environmental Conditions on the Signal Strength of wi-fi Based Sensor Network
    (International Journal of Advanced Research, 2017-06-18) Çaylı, Ali; Mercanli, Ali Selcuk; KSÜ Türkoğlu Meslek Yüksekokulu
    Because greenhouses are controlled sites for agricultural production, environmental conditions such as temperature, relative humidity, carbon dioxide level and solar radiation must be kept at a certain level for plant growth. Therefore, indoor environmental parameters must be constantly monitored in order to take precautions when necessary. Thanks to the technological advancements in recent years, wireless sensor networks have been widely used in monitoring and controlling systems. In addition to monitoring environmental conditions, wireless sensors are used to irrigation, ventilation and heating equipment and in Internet of Things applications. Greenhouse environment is different from external climate, and sudden climatic changes such as high relative humidity and condensation of moisture may occur due to various cultural activities. As a result, some problems may be encountered in data transfer over wireless networks. Therefore, this study analyzes the impact of greenhouse environmental conditions on the data transfer performance of wireless network. The study was conducted in a greenhouse with a floor area of 150 m2 where side walls were covered with double layer polyethylene (PE) with a gap of 5 cm and roof was covered with single layer PE covering material. The main station was positioned outside the greenhouse. Sensor nodes were positioned 20 meters away from the main station within the greenhouse. The research lasted for 20 days between March 20 and April 10. Temperature, relative humidity and signal strength values were transferred to the main station every five minutes thanks to the micro-processor software. The obtained data were used to statistically assess the signal strength performance of sensor nodes. The findings demonstrated that high relative humidity influenced signal strength positively while high temperature influenced signal strength negatively.