Internet of things weather monitoring system

Simeon OGUNBUNMI 1, *, Abdulahi Akintayo TAIWO 2  , John B OLADOSU2, Hakeem SANUSI 2, Faruk Abolore INAOLAJI 2, Usman Gbolahan OLASUNKANMI 2, Adeyinka Idowu AZEEZ 2,  Wariz Abidemi TAJUDEEN 2,  Chukwuemeka Nzeanorue CHRISTIAN 3, Ayanwunmi Olanrewaju SAMUEL 4, Olaoluwa John ADELEKE 5 and Ewemade Cornelius ENABULELE 6

1 Department of Electrical and Computer Engineering, State University of  New York Binghamton, New York, USA
2 Department of Computer Engineering, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria.
3 Department of Electrical Engineering, George Washington University, Washington DC, District of Columbia, USA
4 Department of Electrical Engineering, Yaba College of Technology, Lagos, Nigeria.
5 Department of Electrical Engineering, The Polytechnic Ibadan, Oyo State, Nigeria.
6 Department of Civil Engineering, Federal University of Technology Akure, Ondo State, Nigeria.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 22(02), 2099–2110
Article DOI: 10.30574/wjarr.2024.22.2.1647
 
Publication history: 
Received on 14 April 2024 revised on 26 May 2024; accepted on 29 May 2024
 
Abstract: 
The IoT Weather Monitoring System aims to develop a comprehensive and efficient solution for real-time weather data collection, analysis, and dissemination using the Internet of Things (IoT) technology. With the increasing need for accurate and up-to-date weather information, this project leverages interconnected sensors, data processing techniques, and cloud computing to create a reliable and accessible weather monitoring system.
The system comprises a network of weather sensors strategically deployed in various locations to capture meteorological parameters such as temperature, humidity, air pressure, and rainfall. These sensors are integrated with microcontrollers and wireless communication modules to transmit data to a central data hub. The data hub employs advanced data processing algorithms to clean, aggregate, and analyze the incoming data streams, ensuring the accuracy and quality of the information.
To enhance user accessibility, the processed weather data is made available through a user- friendly web application and mobile interface. Users can view current weather conditions, historical trends, and receive alerts for severe weather events based on the analyzed data. Additionally, the system's cloud-based architecture allows for scalability and remote management, ensuring seamless operation and easy expansion to accommodate growing demands.
 
Keywords: 
Internet of Things (IOT); Sensor Network; Real-time Data Collection; Cloud Computing; Wireless Communication, Microcontroller.
 
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Copyright information: 
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

 

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