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Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture
In recent decades, networked smart devices and cutting-edge technology have been exploited in many applications for the improvement of agriculture. The deployment of smart sensors and intelligent farming techniques supports real-time information gathering for the agriculture sector and decreases the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460273/ https://www.ncbi.nlm.nih.gov/pubmed/36081133 http://dx.doi.org/10.3390/s22176676 |
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author | Abunadi, Ibrahim Rehman, Amjad Haseeb, Khalid Parra, Lorena Lloret, Jaime |
author_facet | Abunadi, Ibrahim Rehman, Amjad Haseeb, Khalid Parra, Lorena Lloret, Jaime |
author_sort | Abunadi, Ibrahim |
collection | PubMed |
description | In recent decades, networked smart devices and cutting-edge technology have been exploited in many applications for the improvement of agriculture. The deployment of smart sensors and intelligent farming techniques supports real-time information gathering for the agriculture sector and decreases the burden on farmers. Many solutions have been presented to automate the agriculture system using IoT networks; however, the identification of redundant data traffic is one of the most significant research problems. Additionally, farmers do not obtain the information they need in time, such as data on water pressure and soil conditions. Thus, these solutions consequently reduce the production rates and increase costs for farmers. Moreover, controlling all agricultural operations in a controlled manner should also be considered in developing intelligent solutions. Therefore, this study proposes a framework for a system that combines fog computing with smart farming and effectively controls network traffic. Firstly, the proposed framework efficiently monitors redundant information and avoids the inefficient use of communication bandwidth. It also controls the number of re-transmissions in the case of malicious actions and efficiently utilizes the network’s resources. Second, a trustworthy chain is built between agricultural sensors by utilizing the fog nodes to address security issues and increase reliability by preventing malicious communication. Through extensive simulation-based experiments, the proposed framework revealed an improved performance for energy efficiency, security, and network connectivity in comparison to other related works. |
format | Online Article Text |
id | pubmed-9460273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94602732022-09-10 Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture Abunadi, Ibrahim Rehman, Amjad Haseeb, Khalid Parra, Lorena Lloret, Jaime Sensors (Basel) Article In recent decades, networked smart devices and cutting-edge technology have been exploited in many applications for the improvement of agriculture. The deployment of smart sensors and intelligent farming techniques supports real-time information gathering for the agriculture sector and decreases the burden on farmers. Many solutions have been presented to automate the agriculture system using IoT networks; however, the identification of redundant data traffic is one of the most significant research problems. Additionally, farmers do not obtain the information they need in time, such as data on water pressure and soil conditions. Thus, these solutions consequently reduce the production rates and increase costs for farmers. Moreover, controlling all agricultural operations in a controlled manner should also be considered in developing intelligent solutions. Therefore, this study proposes a framework for a system that combines fog computing with smart farming and effectively controls network traffic. Firstly, the proposed framework efficiently monitors redundant information and avoids the inefficient use of communication bandwidth. It also controls the number of re-transmissions in the case of malicious actions and efficiently utilizes the network’s resources. Second, a trustworthy chain is built between agricultural sensors by utilizing the fog nodes to address security issues and increase reliability by preventing malicious communication. Through extensive simulation-based experiments, the proposed framework revealed an improved performance for energy efficiency, security, and network connectivity in comparison to other related works. MDPI 2022-09-03 /pmc/articles/PMC9460273/ /pubmed/36081133 http://dx.doi.org/10.3390/s22176676 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abunadi, Ibrahim Rehman, Amjad Haseeb, Khalid Parra, Lorena Lloret, Jaime Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture |
title | Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture |
title_full | Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture |
title_fullStr | Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture |
title_full_unstemmed | Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture |
title_short | Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture |
title_sort | traffic-aware secured cooperative framework for iot-based smart monitoring in precision agriculture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460273/ https://www.ncbi.nlm.nih.gov/pubmed/36081133 http://dx.doi.org/10.3390/s22176676 |
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