A Wireless Sensor Network Air Pollution Monitoring System

TL;DR

This paper presents WAPMS, a wireless sensor network system for air pollution monitoring in Mauritius, featuring a novel data aggregation algorithm and hierarchical routing to enhance efficiency and energy savings.

Contribution

Introduction of WAPMS with a new data aggregation algorithm (RCQ) and hierarchical routing for efficient air pollution monitoring in Mauritius.

Findings

Reduced data transmission through RCQ algorithm

Enhanced energy efficiency with hierarchical routing

Effective air pollution monitoring in Mauritius

Abstract

Sensor networks are currently an active research area mainly due to the potential of their applications. In this paper we investigate the use of Wireless Sensor Networks (WSN) for air pollution monitoring in Mauritius. With the fast growing industrial activities on the island, the problem of air pollution is becoming a major concern for the health of the population. We proposed an innovative system named Wireless Sensor Network Air Pollution Monitoring System (WAPMS) to monitor air pollution in Mauritius through the use of wireless sensors deployed in huge numbers around the island. The proposed system makes use of an Air Quality Index (AQI) which is presently not available in Mauritius. In order to improve the efficiency of WAPMS, we have designed and implemented a new data aggregation algorithm named Recursive Converging Quartiles (RCQ). The algorithm is used to merge data to eliminate duplicates, filter out invalid readings and summarise them into a simpler form which significantly reduce the amount of data to be transmitted to the sink and thus saving energy. For better power management we used a hierarchical routing protocol in WAPMS and caused the motes to sleep during idle time.