Heterogeneous LoRaWan deployment for application dependent IOT networks

Agbolade, Olaide Ayodeji; Dahunsi, Folasade Mojisola; Oyetunji, Samson A.

doi:10.5935/jetia.v8i34.798

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…One very important wireless technology that is gaining popularity in most IoT applications is the long-range wide area network (LoRaWAN). Due to the use of a licenseexempt band and long range at very minimal energy cost, they have generally been accepted as a sustainable option for wireless communication in IoT applications [30]. LoRa provides an impressive alternative for pipeline monitoring, particularly for installation sites that have no access to cellular or Wi-Fi coverage.…”

Section: Background To the Studymentioning

confidence: 99%

“…Therefore, a robust IoTbased pipeline monitoring system is fundamental to ensuring prompt detection and localization of leaks so as to minimize water loss and prevent potential damage to infrastructure. Consequently, in this paper, we proposed a comprehensive solution that leverages LoRaWAN-based Internet of Things (IoT) technology [5] for monitoring and detecting leaks in water pipelines. Our technique exploits the ubiquity of IoT [6] and its ability to facilitate wireless connectivity between people and systems in a seamless manner.…”

Section: Introductionmentioning

confidence: 99%

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A LoRaWAN-based IoT System for Leakage Detection in Pipelines

Agbolade,

Olanrewaju,

Oyetunji

et al. 2023

EJENG

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Leakages in a pipeline are an important problem due to the potential economic and environmental hazard they present. In this study, we proposed a LoRaWAN-based approach for detecting and localizing leakages in pipelines. Our study includes an experimental setup that simulates a pipeline network with pressure and flow rate sensors attached. The flow rate and pressure data were transmitted through LoRaWAN to a receiver, which in turn uploads the data to a cloud server using a cellular network. The receiver compares the flow rate reading from all the monitoring nodes attached to the pipeline network. If flow rate reading from successive nodes presents a percentage variation of more than 1.5%, a leak is confirmed to have taken place. The flow rate readings can also be used to localize the leak. The resolution of the leak detection is dependent on the number of monitoring nodes on the pipeline network. In our study, the pressure readings were found to be insufficient to provide reliable evidence of leakages. In our specific situation, due to the relatively short length of the experimental pipeline network, a pressure drop of up to 38.2% was recorded between successive nodes with an overall pressure loss of 62%, making pressure data unsuitable for leak detection in the short pipeline network.

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Section: Background To the Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A LoRaWAN-based IoT System for Leakage Detection in Pipelines

Agbolade,

Olanrewaju,

Oyetunji

et al. 2023

EJENG

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“…Due to the relatively low data rate obtainable on LoRaWAN, the technology has been oftentimes used with applications that are insensitive to delays and packet loss [8]. Some of these applications include asset tracking [9], pipeline monitoring [10], [11], metering [12] among several others.…”

Section: Review Of Past Literaturesmentioning

confidence: 99%

“…Higher power enables longer communication distances but consumes more energy. Balancing SF and transmission power is crucial for optimizing LoRaWAN networks, as it directly affects data rates, energy consumption, and the network's ability which is why it has been used to develop business sustainability for the technology [19].…”

Section: Review Of Past Literaturesmentioning

confidence: 99%

Performance Evaluation of LoRaWAN SX1276 Radio in Non-Line of Sight conditions

Olaide Ayodeji Agbolade

2023

World J. Adv. Res. Rev.

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The study presents a comprehensive performance evaluation of the SX1276 radio module within LoRaWAN technology under Non-Line of Sight (NLOS) conditions. LoRaWAN's proliferation in IoT applications demands a thorough understanding of its performance in challenging environments. This study investigates NLOS scenarios, identifying factors influencing signal strength, packet loss, and latency. Finally, the performance of the network under LOS condition was compared to NLOS to shed light on NLOS challenges. Results showed that spreading factor and transmission power are the most critical parameters that influences the performance of the network. Results from the study also shows that in LOS condition the spreading factor 7 has the highest data rate but also the least range. Furthermore, the study revealed that using high spreading factor is more beneficial than high transmission power in non-line of sight conditions. Finally, by comparing both conditions, LoRaWAN nodes under LOS condition was found to have a range of up to 5 km as against 1 km at NLOS which further highlight the importance of LOS in LoRa transmissions.

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“…Furthermore, the integration of microclimate data into species distribution models is indispensable for ecological research and environmental monitoring [17] [18]. The versatile application of LoRaWAN technology in heterogeneous deployments for IoT networks tailored to specific needs further underscores its adaptability and relevance in various environmental settings [19].…”

Section: Introductionmentioning

confidence: 99%

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Nurwarsito,

Suprayogo,

Sakti

et al. 2024

Journal of Robotics and Control

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Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.

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Heterogeneous LoRaWan deployment for application dependent IOT networks

Cited by 7 publications

References 24 publications

A LoRaWAN-based IoT System for Leakage Detection in Pipelines

A LoRaWAN-based IoT System for Leakage Detection in Pipelines

Performance Evaluation of LoRaWAN SX1276 Radio in Non-Line of Sight conditions

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

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