TY - GEN
T1 - Green Energy-Based Efficient IoT Sensor Network for Small Farms
AU - Mishra, Amit
AU - Singh, Sandeep
AU - Verma, Karun
AU - Bhatia, Parteek
AU - Ghosh, M.
AU - Shacham-Diamand, Yosi
N1 - Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2022
Y1 - 2022
N2 - The recent advancement in the Internet of Things (IoT) makes crop management much smarter and helps optimize resource consumption in the agriculture industry. However, due to the high deployment and operational cost of IoT-based infrastructure, it becomes pretty expansive to be afforded by small farm holders. In this paper, an energy-efficient, low-cost, in-house wireless sensor network has been developed and established for collecting important field parameters directly from small household farms. The sensor nodes equipped with in-situ sensors were placed in the test field. The parameters such as atmospheric temperature, humidity, and soil moisture are measured through various sensors. Consequently, the sensors’ data is transferred from the sensor nodes to the Gateway via Long-range (LoRA) communication. The Gateway is designed to push the sensor data to the application server (ThingSpeak) through the Long-range wide-area network (LoRAWAN) protocol. The performance of the proposed LoRaWAN based WSN was tested over the 868 MHz unlicensed ISM indoor network setup for an entire season of rice crop and found satisfactory even in the harsh propagation environment.
AB - The recent advancement in the Internet of Things (IoT) makes crop management much smarter and helps optimize resource consumption in the agriculture industry. However, due to the high deployment and operational cost of IoT-based infrastructure, it becomes pretty expansive to be afforded by small farm holders. In this paper, an energy-efficient, low-cost, in-house wireless sensor network has been developed and established for collecting important field parameters directly from small household farms. The sensor nodes equipped with in-situ sensors were placed in the test field. The parameters such as atmospheric temperature, humidity, and soil moisture are measured through various sensors. Consequently, the sensors’ data is transferred from the sensor nodes to the Gateway via Long-range (LoRA) communication. The Gateway is designed to push the sensor data to the application server (ThingSpeak) through the Long-range wide-area network (LoRAWAN) protocol. The performance of the proposed LoRaWAN based WSN was tested over the 868 MHz unlicensed ISM indoor network setup for an entire season of rice crop and found satisfactory even in the harsh propagation environment.
KW - Gateway
KW - LoRAWAN
KW - Sensor network
KW - Sensor node
UR - http://www.scopus.com/inward/record.url?scp=85130251354&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-01984-5_2
DO - 10.1007/978-3-031-01984-5_2
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AN - SCOPUS:85130251354
SN - 9783031019838
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 15
EP - 27
BT - Electrical and Computer Engineering - First International Congress, ICECENG 2022, Proceedings
A2 - Seyman, Muhammet Nuri
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Congress of Electrical and Computer Engineering, ICECENG 2022
Y2 - 9 February 2022 through 12 February 2022
ER -
