Weather prediction using multiple iot based wireless sensors

Abstract

Environmental monitoring has become extremely important due to recent changes in the climate. It is important for ensuring a safe and wealthy life of both humans and artifacts. This field is based on remote sensing and wireless sensor networks for gathering data about the environment. Recent advancements, for example, the vision of the Internet of Things (IoT), the distributed computing model, and digital physical frameworks support the transmission and management of huge amounts of data relating to the trends determined in environmental parameters. In this context, the paper presents three different IoT-based wireless sensors for weather prediction and environmental monitoring: one employing User Datagram Protocol (UDP)-based Wi-Fi communication, second communicating through Wi-Fi and Hypertext Transfer Protocol (HTTP), and a third one using Bluetooth communication. The system consists of three different wireless sensor nodes based on Node-MCU Wi-Fi module or Arduino microcontroller that is connected to the internet, and a firebase cloud server, which provides information storage and delivery to remote clients. In addition, to view the result output in an effective and user friendly manner, MIT App Inventor is used to develop applications for Android phones using a web browser and either an associated phone or the on-screen phone person. The system conducts a lookup table which contains the value of temperature, humidity, real time rain, and a level of carbon monoxide (CO) and are used to predict the current environmental conditions.