LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0

The Internet of Things (IoT) is transforming all applications into real-time monitoring systems. Due to the advancement in sensor technology and communication protocols, the implementation of the IoT is occurring rapidly. In agriculture, the IoT is encouraging implementation of real-time monitoring...

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Main Authors: Mahendra Swain, Dominik Zimon, Rajesh Singh, Mohammad Farukh Hashmi, Mamoon Rashid, Saqib Hakak
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/11/5/820
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author Mahendra Swain
Dominik Zimon
Rajesh Singh
Mohammad Farukh Hashmi
Mamoon Rashid
Saqib Hakak
author_facet Mahendra Swain
Dominik Zimon
Rajesh Singh
Mohammad Farukh Hashmi
Mamoon Rashid
Saqib Hakak
author_sort Mahendra Swain
collection DOAJ
description The Internet of Things (IoT) is transforming all applications into real-time monitoring systems. Due to the advancement in sensor technology and communication protocols, the implementation of the IoT is occurring rapidly. In agriculture, the IoT is encouraging implementation of real-time monitoring of crop fields from any remote location. However, there are several agricultural challenges regarding low power use and long-range transmission for effective implementation of the IoT. These challenges are overcome by integrating a long-range (LoRa) communication modem with customized, low-power hardware for transmitting agricultural field data to a cloud server. In this study, we implemented a custom-based sensor node, gateway, and handheld device for real-time transmission of agricultural data to a cloud server. Moreover, we calibrated certain LoRa field parameters, such as link budget, spreading factor, and receiver sensitivity, to extract the correlation of these parameters on a custom-built LoRa testbed in MATLAB. An energy harvesting mechanism is also presented in this article for analyzing the lifetime of the sensor node. Furthermore, this article addresses the significance and distinct kinds of localization algorithms. Based on the MATLAB simulation, we conclude that hybrid range-based localization algorithms are more reliable and scalable for deployment in the agricultural field. Finally, a real-time experiment was conducted to analyze the performance of custom sensor nodes, gateway, and handheld devices.
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spelling doaj.art-4bdf235c8aad43339610bb11a708a6702023-11-21T16:36:45ZengMDPI AGAgronomy2073-43952021-04-0111582010.3390/agronomy11050820LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0Mahendra Swain0Dominik Zimon1Rajesh Singh2Mohammad Farukh Hashmi3Mamoon Rashid4Saqib Hakak5School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, IndiaDepartment of Management Systems and Logistics, Rzeszow University of Technology, 35-959 Rzeszow, PolandSchool of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144001, IndiaNational Institute of Technology, Warangal 506004, IndiaSchool of Computer Science and Engineering, Lovely Professional University, Jalandhar 144001, IndiaCanadian Institute for Cybersecurity, University of New Brunswick, Fredericton, NB E3B 5A3, CanadaThe Internet of Things (IoT) is transforming all applications into real-time monitoring systems. Due to the advancement in sensor technology and communication protocols, the implementation of the IoT is occurring rapidly. In agriculture, the IoT is encouraging implementation of real-time monitoring of crop fields from any remote location. However, there are several agricultural challenges regarding low power use and long-range transmission for effective implementation of the IoT. These challenges are overcome by integrating a long-range (LoRa) communication modem with customized, low-power hardware for transmitting agricultural field data to a cloud server. In this study, we implemented a custom-based sensor node, gateway, and handheld device for real-time transmission of agricultural data to a cloud server. Moreover, we calibrated certain LoRa field parameters, such as link budget, spreading factor, and receiver sensitivity, to extract the correlation of these parameters on a custom-built LoRa testbed in MATLAB. An energy harvesting mechanism is also presented in this article for analyzing the lifetime of the sensor node. Furthermore, this article addresses the significance and distinct kinds of localization algorithms. Based on the MATLAB simulation, we conclude that hybrid range-based localization algorithms are more reliable and scalable for deployment in the agricultural field. Finally, a real-time experiment was conducted to analyze the performance of custom sensor nodes, gateway, and handheld devices.https://www.mdpi.com/2073-4395/11/5/820localizationlink budgetspreading factorrangeLoRanode sensitivity
spellingShingle Mahendra Swain
Dominik Zimon
Rajesh Singh
Mohammad Farukh Hashmi
Mamoon Rashid
Saqib Hakak
LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0
Agronomy
localization
link budget
spreading factor
range
LoRa
node sensitivity
title LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0
title_full LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0
title_fullStr LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0
title_full_unstemmed LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0
title_short LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0
title_sort lora lbo an experimental analysis of lora link budget optimization in custom build iot test bed for agriculture 4 0
topic localization
link budget
spreading factor
range
LoRa
node sensitivity
url https://www.mdpi.com/2073-4395/11/5/820
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