An IoT-Based e-Health System Integrated With Wireless Sensor Network and Air Pollution Index

We have developed an embedded software application, especially for health-conscious people concerned with air pollution. It helps to search an optimal path based on the concentration of pollutants in the air from available alternatives. The interface takes the advantage of Google Map Application Programming Interface (API) which is widely used for localization and navigation. In this article, we present a software development framework based on an Android Platform that displays real-time ambient air quality from data acquisition systems installed on roadways. It also recommends the users to find out the best path with minimum pollution index. The proposed system is simulated globally based on synthetically generated data, while locally verified with sensor data using a wireless local area network based cloud server. The optimization algorithm is provided, which provides the optimal path.