Large Scale Air Pollution Monitoring Using Static Multihop Wireless Sensor Networks

Abstract

In the proposed paper, an effective system for a large-scale air pollution monitoring on a live basis is developed and tested. It is an Audrino based platform equipped with pre-calibrated sensors to sense gases like sulphur dioxide (SO2), carbon monoxide (CO), ammonia (NH3), and particulate matter (PM10) in the air. Audrino board with the gas sensors, global system for mobile communications (GSM) and ZigBee module forms the wireless sensor motes used for the field deployment. Wireless sensor network built with ZigBee links can be scaled up using the GSM connectivity to interface with the external world. Air pollution monitoring is performed using a system of sensor nodes with the help of wireless communication via a ZigBee protocol. We proposed a static wireless sensor network to supervise air contamination level, and a multi-hop algorithm is implemented over ZigBee WSN. Designed low-cost WSN based prototype is tested under various atmospheric conditions which had provided stable and dependable data of air contaminants.