A Wireless Sensor Network Air Pollution Monitoring System
Department of Computer Science and Engineering, University of Mauritius, Reduit,
Mauritius
1k.khedo@uom.ac.mu
2arajivp@yahoo.com
3avi_29@hotmail.com
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.
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