Fuzzy Logic-Based Flood Detection System Using Lora Technology

Khuen, Choo Kam; Zourmand, Alireza

doi:10.1109/cspa48992.2020.9068698

Cited by 12 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mobile network services such as 4G/5G can also be used. These technologies enable the monitoring of flood detection across diverse locations [71,72].…”

Section: Discussionmentioning

confidence: 99%

Water level identification with laser sensors, inertial units, and machine learning

Ranieri,

Foletto,

Garcia

et al. 2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

“…Mobile network services such as 4G/5G can also be used. These technologies enable the monitoring of flood detection across diverse locations [71,72].…”

Section: Discussionmentioning

confidence: 99%

Water level identification with laser sensors, inertial units, and machine learning

Ranieri,

Foletto,

Garcia

et al. 2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

“…Besides, a fuzzy logic‐based approach for flood detection has been proposed by Khuen and Zourmand 33 . The inputs for the fuzzy system include the type of monsoon season, surface water runoff level, soil moisture, and rainfall amount, while the output is flood risk.…”

Section: Review Of Lpwan‐based Modelsmentioning

confidence: 99%

“…Besides, a fuzzy logic-based approach for flood detection has been proposed by Khuen and Zourmand. 33 The inputs for the fuzzy system include the type of monsoon season, surface water runoff level, soil moisture, and rainfall amount, while the output is flood risk. The Semtech SX1278 LoRa chip was used to provide a low-power, long-range wireless communication mechanism for remote sensor nodes.…”

Section: Flood Monitoringmentioning

confidence: 99%

The role of low‐power wide‐area network technologies in Internet of Things: A systematic and comprehensive review

Mousavi

Khademzadeh

Rahmani

2021

Int J Communication

View full text Add to dashboard Cite

Summary With the quick progress of wireless technologies, the Internet of Things (IoT) has been recognized as the main part of daily people's lives that makes their life more convenient by utilizing a diverse range of smart devices. Over the last decade, various useful and forthcoming application fields have been developed by taking advantage of the IoT concept. In this regard, LPWAN technologies such as LoRa, Sigfox, and NB‐IoT play an important role in advancing. These technologies are suitable wireless communication protocols for battery‐powered IoT objects that enable long‐distance communication in low‐power devices at a low operation cost. Some review papers have investigated the LPWAN technology in the IoT from different perspectives. However, the lack of detailed and systematic study outlining the role of these technologies in different IoT applications is very clear. Consequently, this gap inspired us to write the current study. The current works are classified into three main classes, including smart city, home automation, and smart healthcare. Besides, the involved models in the smart city group are categorized into five subgroups, including smart monitoring, smart metering, air pollution, smart agriculture, and smart parking. The selected works are reviewed, and their main features, including main idea, coverage range, sensor types, processing board, frequency band, communication protocols, power consumption analysis, and achievement, are specified. Generally, our main aim is to describe the challenging problems of applying LPWAN to various IoT applications, specify the efficient models, and recommend some hints for upcoming studies.

show abstract

“…Several studies, like [16], have integrated Internet of Things (IoT) with machine learning and AI techniques for use in emergency management. Most of these systems are used for detection [17][18][19]. Fuzzy-based algorithms are the best applicable to monitoring and early warning systems among all methods for ML and AI approaches.…”

Section: Introductionmentioning

confidence: 99%

Implementation of the Internet of Things for early Floods in Agricultural Land using Dimensionality Reduction Technique and Ensemble ML

M S,

et al. 2023

JMC

View full text Add to dashboard Cite

Due to human activities like global warming, pollution, ozone depletion, deforestation, etc., the frequency and severity of natural disasters have increased in recent years. Unlike many other types of natural disasters, floods may be anticipated and warned about in advance. This work presents a flood monitoring and alarm system enabled by a smart device. A microcontroller (Arduino) is included, and its support for detection and indication makes it useful for keeping tabs on and managing the gadget. The device uses its own sensors to take readings of its immediate surroundings, then uploads that data to the cloud and notifies a central administrator of the impending flood. When admin discovers a crisis situation based on the data it has collected, it quickly sends out alerts to those in the local vicinity of any places that are likely to be flooded. Using an Android app, it alerts the user's screen. The project's end goal is to develop an application that swiftly disseminates flood warning information to rural agricultural communities. Scaled principal component analysis (SPCA) is used to filter out extraneous data, and an ensemble machine learning technique is used to make flood predictions. The tests are performed on a dataset that is being collected in real-time and analysed in terms of a number of different parameters. In this research, we propose a strategy for long-term agricultural output through the mitigation of flood risk.

show abstract

Fuzzy Logic-Based Flood Detection System Using Lora Technology

Cited by 12 publications

References 3 publications

Water level identification with laser sensors, inertial units, and machine learning

Water level identification with laser sensors, inertial units, and machine learning

The role of low‐power wide‐area network technologies in Internet of Things: A systematic and comprehensive review

Implementation of the Internet of Things for early Floods in Agricultural Land using Dimensionality Reduction Technique and Ensemble ML

Contact Info

Product

Resources

About