Green Energy-Based Efficient IoT Sensor Network for Small Farms

Amit Mishra*, Sandeep Singh, Karun Verma, Parteek Bhatia, M. Ghosh, Yosi Shacham-Diamand

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


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.

Original languageEnglish
Title of host publicationElectrical and Computer Engineering - First International Congress, ICECENG 2022, Proceedings
EditorsMuhammet Nuri Seyman
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
ISBN (Electronic)978-3-031-01984-5
ISBN (Print)9783031019838
StatePublished - 2022
Event1st International Congress of Electrical and Computer Engineering, ICECENG 2022 - Bandirma, Turkey
Duration: 9 Feb 202212 Feb 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume436 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


Conference1st International Congress of Electrical and Computer Engineering, ICECENG 2022


FundersFunder number
A central university
Thapar Institute of Engineering and Technology


    • Gateway
    • LoRAWAN
    • Sensor network
    • Sensor node


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