A network architecture for high volume data collection in agricultural applications

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Zorbas, Dimitrios
O'Flynn, Brendan
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Institute of Electrical and Electronics Engineers (IEEE)
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An important requirement for Internet of Things applications is the ability to provide fast and energy efficient data collection from wireless sensors. When sensor nodes are located far from the data collection point, currently available long range protocols present challenges associated with a very low data rate and often unreliable connections resulting in excessive energy consumption related to data transmission. To address this problem, we propose a simple and energy-efficient data collection architecture for smart agricultural purposes which require wireless sensing. The architecture involves data collection from nodes located in remote fields or on animals leveraging off the use of drones as a data collection mechanism. In particular, drones can fly over the desired areas (points) and collect high volumes of data that would be otherwise difficult to transfer directly to the sink in a reasonable amount of time and using reasonable amounts of energy. We describe the different components and stages that constitute the proposed architecture emphasizing the networking component. We propose the use of different communication technologies, such as LoRa and WiFi, depending on the data collection requirements. We present an in-lab development of this architecture as a proof-of-concept as well as preliminary results for the architecture. The results reveal that the proposed solution is potentially capable of achieving data collection at high volume, however, the performance does not consider the highest spreading factors of LoRa.
Precision agriculture , Networks , LoRa , Drones , Agriculture , Wireless LAN , Wireless sensor networks , Energy efficient data collection , Data transmission , Energy-efficient data collection architecture , Wireless sensor nodes , Energy consumption , Long range protocols , Smart agricultural applications , Internet of Things applications , LoRa , WiFi , In-lab development
Zorbas, D. and O'Flynn, B. (2019) 'A Network Architecture for High Volume Data Collection in Agricultural Applications', 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), Santorini Island, Greece, 29-31 May, pp. 578-583. doi: 10.1109/DCOSS.2019.00107
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