A Novel Method To Identify Stronger Wifi Signal For A Pollution Monitoring IoT Gateway

Abstract

 Air pollution has become a major concern worldwide, and it is one of the leading causes of several respiratory diseases. The traditional methods of air pollution monitoring are time-consuming, costly, and often provide delayed results. Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) offer a promising solution to real-time air pollution monitoring. WSNs can monitor various environmental parameters such as temperature, humidity, and pollutants in real-time and IoT can enable the collection and analysis of data from these sensors.

Despite the potential benefits of using WSN and IoT in air pollution monitoring, there are several challenges that need to be addressed. One of the primary challenges is the limited range and connectivity of wireless sensor nodes.

In this paper proposes a novel solution where the gateway devices can work in a dynamic master slave configuration mode depending on the strength of the Wifi signal. Thus, ensuring reliable connectivity for the sensor nodes to pass on data to the cloud via the gateway.