Wireless Sensor Network for Rainfall Measurement Using a Tipping Bucket Rain Gauge Mechanism

Omoruyi, Osemwegie; John, Samuel; Okereke, Chinonso; Okonigene, R. E.; Adewale, Adeyinka A.; Okokpujie, Kennedy

doi:10.1109/csci.2017.127

Cited by 5 publications

(4 citation statements)

References 8 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, when a drop of water is dropped, the digital output is low, and the switch indicator is on. Moreover, the rain sensor can be used to detect if there is rain and rainfall [21]. This investigation employed KSM019 as the illuminance sensor, shown in Fig.…”

Section: Hardware Equipmentmentioning

confidence: 99%

Creating Smart House via IoT and Intelligent Computation

Sung¹,

Hsiao²

2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

This study mainly uses the concept of the Internet of Things (IoT) to establish a smart house with an indoor, comfortable, environmental, and real-time monitoring system. In the smart house, this investigation employed the temperature-and humidity-sensing module and the lightness module to monitor any condition for an intelligent-living house. The data of temperature, humidity, and lightness are transmitted wirelessly to the human-machine interface. The correlation of the weight of the extension theory is used to analyze the ideal and comfortable environment so that people in the indoor environment can feel better thermal comfort and lightness. In this study, improved particle swarm optimization (IPSO) is employed-an effective evolutionary method used to search the function extreme. It is simple and has a fast convergence. The convergence accuracy of this algorithm is not high at the beginning, and it can easily fall into the local extreme points. The effect of the inertia weight in mix extension theory and PSO becomes IPSO-Extension Neural Network (ENN), which was analyzed and found reliable. Motivated by the idea of power function, a new non-linear strategy for decreasing inertia weight (DIW) was proposed based on the existing linear DIW. Then, a novel hierarchical multi-sensor data fusion algorithm adopting this strategy was presented, and the weight factor of the data fusion was estimated. The distinctive feature of this algorithm is its capability of fusing data in a near-optimal manner when there is no available information about the reliability of the information sources, the degree of redundancy/complementarities of the information sources, and the structure of the hierarchy. It obtained effective information from the fusion data, successfully removed the noise disturbance, and achieved favorable results.

show abstract

Section: Hardware Equipmentmentioning

confidence: 99%

Creating Smart House via IoT and Intelligent Computation

Sung¹,

Hsiao²

2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

show abstract

“…The rain data is saved in a data logger, which records the time of each tip. The devising of more inexpensive mid-range and long-range radio systems for Wireless Sensors Networks (WSNs) makes this type of sensor more practical and robust in studying rainfall over a wide geographic area [14].…”

Section: Rain Gauge Sensormentioning

confidence: 99%

Early warning of impending flash flood based on AIoT

Sung

Devi

Hsiao

2022

J Wireless Com Network

View full text Add to dashboard Cite

According to data from the Earth's Volcano and Geological Disaster Reduction Center, a country like Indonesia has experienced many natural disasters, one of which is flooding. Floods are an annual natural disaster, especially on mountain slopes. Mountainous areas experience more dangerous than floods than the urban areas because they can cause other natural disasters, such as landslides and damage the hiking trails. The steep and winding roads minimize and limit the number of officers working in the mountains. Therefore, flood detection and monitoring equipment is needed. The proposed system based on AIoT technology provides real-time flood analysis so that the authorities can monitor residents around mountainous areas and provide early warning. This research focuses on the flood observation system as an early warning system to effectively monitor the flood-prone mountain slopes in real time while taking into account the cost, time efficiency, and safety measurement. The proposed system design includes the integration of sensors into the microcontroller, and the communication between the posts using LoRa and SIM900 sends data to the cloud server via the Internet. All sensor readings for each post are displayed on the app, and alerts are sent via SMS and the app.

show abstract

“…In [9], a system creates to control the rate of rainfall. It is a system that has the structural features of a rain gauge.…”

Section: A Related Workmentioning

confidence: 99%

“…Make clear to the real-time user that the values collected by the microcontroller have set up, a scale showing the total value of the analog value range set by Table IV is displayed, depending on the amount of water falling on the panel. This table has created with the help of a cylindrical tube graded in millimeters [9]. Finally, it should note that the panel place at a slope of 40, which results in the expulsion of a large amount of water more significant than 50 mm.…”

Section: • Process Systemmentioning

confidence: 99%

Rain Attenuation in 5G Wireless Broadband Backhaul Link and Develop (IoT) Rainfall Monitoring System

Zarkadas¹,

Dimitrakopoulos²

2021

IJACSA

View full text Add to dashboard Cite

Climate change is the cause of more frequent and intense rainfall where they affect wireless communications because they cause severe weakening of the power of the emitted signal. These losses reduce network coverage and, therefore, system availability. The proposed solution is to integrate an Internet of Things (IoT) rainfall monitoring system where it will be able to collect real-time data on the height of rain that erupts in a particular place. This data will help areas where base stations install and the distance of the link that may need to be changed to reduce rainfall's harmful effects. So, the prediction of attenuation due to rain is an essential parameter in both terrestrial and satellite connections. The present study uses the ITU-R P 838 and ITU-R P 530 models to theoretically calculate losses in a 5G wireless broadband link with 99.9% link availability. This study conducts three frequency bands, 24 GHz, 28 GHz, and 38GHz, in Palo Alto, California. The travel distance is 5km, while the rainfall rate for the analyzed area is in zone D. The results show that the attenuations are proportional to the frequency, polarization, and rainfall rate.

show abstract

Wireless Sensor Network for Rainfall Measurement Using a Tipping Bucket Rain Gauge Mechanism

Cited by 5 publications

References 8 publications

Creating Smart House via IoT and Intelligent Computation

Creating Smart House via IoT and Intelligent Computation

Early warning of impending flash flood based on AIoT

Rain Attenuation in 5G Wireless Broadband Backhaul Link and Develop (IoT) Rainfall Monitoring System

Contact Info

Product

Resources

About