tailieunhanh - A WIRELESS SENSOR NETWORK AIR POLLUTION MONITORING SYSTEM

Given a particular representation of f described in Section then choose the amount of smoothness to allow for f . We examine model selection approaches that have already been used extensively by investigators in the area of time series modelling of air pollution and health data. A general strategy is to use a data-driven method and to select the number of degrees of freedom(df) which optimizes a particular criterion. For example, one approach is to choose the df which leads to optimal prediction of the mortality outcome series (. Burnett and Gold- berg (2003)) and another is to select the df which best predicts the. | International Journal of Wireless Mobile Networks IJWMN May 2010 A Wireless Sensor Network Air Pollution Monitoring System Kavi K. Khedo1 Rajiv Perseedoss2 and Avinash Mungur3 Department of Computer Science and Engineering University of Mauritius Reduit Mauritius 2 arajivp@ 3 avi 29@ 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. Keywords Sensor Networks Routing Protocol Data Aggregation Air Pollution Monitoring Data Fusion 1. Introduction Sensor networks are dense wireless networks of small low-cost sensors which collect and disseminate environmental data. Wireless sensor networks facilitate monitoring and controlling of physical environments from remote locations with better accuracy 1 . They have applications in a variety of fields such as environmental monitoring indoor climate

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