AccScience Publishing / AJWEP / Volume 20 / Issue 5 / DOI: 10.3233/AJW230069
RESEARCH ARTICLE

Smart Agriculture Application Using Secured and  Energy-Efficient IoT-Based WSN Framework

Priya Rengarajan1 I. Poonguzhali2 E. Malarvizhi3 K. Mahendran1*
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1 Saveetha Engineering College, Thandalam, Chennai – 602105, India
2 Panimalar Institute of Technology, Chennai, India
3 St. Joseph’sCollege of Engineering, Chennai – 600119, India
AJWEP 2023, 20(5), 87–93; https://doi.org/10.3233/AJW230069
Received: 26 December 2022 | Revised: 12 September 2023 | Accepted: 12 September 2023 | Published online: 12 September 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

The use of wireless sensor networks (WSNs), in several sectors, including communication, agriculture,  manufacturing, smart health, monitoring and surveillance is increasing in R&D. An IoT-based WSN in agricultural  production has been effective in detecting yield conditions and automating agriculture precision by using multiple  sensors. To collect data on crops, plants, temperature estimates and stickiness as well as to boost yields by making  smart agriculture decisions, they are deployed in rural regions. Sensors, on the other hand, are constrained by their  inability to handle, store, communicate, and process large amounts of data due to a lack of available resources.  Additionally, the safety and security of the IoT-based agricultural sensors against damaging competitors are crucial  factors, as is their efficacy. One idea put up in this article is to employ a WSN structure based on the Internet of  Things (IoT) for smart agriculture. The selection of group leaders is also based on data collected by rural sensors  and multi-rules choice capacity. A transmission link’s SNR (signal-to-noise ratio) is used to gauge the intensity of  signals being sent over it in order to guarantee accurate and timely data transfer. In addition, the direct congruential  generator is repeated in order to enable data flow from agricultural sensors to central stations (BS). Compared  with previous arrangements, smart agriculture obtained an average of 13.5 percent in the organisation throughput,  38.5 percent in the parcel drop percentage, 13.5 percent in the organisation inactivity, and 16 percent in energy  usage. Comparatively speaking, this is a huge step forward.

Keywords
Wireless sensor networks
signal noise ratio
Internet of Things
network latency.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing