tailieunhanh - AIR POLLUTION MONITORING SYSTEM BASED ON GEOSENSOR NETWORK

There are several other reasons why sponges are a model laboratory organism to explore the biological consequences of environmental pollution. For the purposes of ease of set-up, freshwater sponges represent a cost- and time-effective study organism. Gemmules grow relatively quickly (within 3-5 days) and require very little equipment to grow. All of our sponges were grown in 24- well tissue culture plates. While our experiments were conducted in a growth chamber with constant temperature and photoperiod, we have found that the sponges grow well at room temperature using ambient light levels. Gemmules are readily available at. | AIR POLLUTION MONITORING SYSTEM BASED ON GEOSENSOR NETWORK1 Young Jin Jung Yang Koo Lee Dong Gyu Lee Keun Ho Ryu Silvia Nittel Spatial Information and Engineering University of Maine USA Database Bioinformatics Laboratory Chungbuk National University Korea yjung nittel @ leeyangkoo dglee khryu @ ABSTRACT Environment Observation and Forecasting System EOFS is a application for monitoring and providing a forecasting about environmental phenomena. We design an air pollution monitoring system which involves a context model and a flexible data acquisition policy. The context model is used for understanding the status of air pollution on the remote place. It can provide an alarm and safety guideline depending on the condition of the context model. It also supports the flexible sampling interval change for effective the tradeoff between sampling rates and battery lifetimes. This interval is changed depending on the pollution conditions derived from the context model. It can save the limited batteries of geosensors because it reduces the number of data transmission. Index Terms Pollution monitoring Context model Sensor network EOFS Geosensor 1. INTRODUCTION Wireless sensor networks have been deployed for environmental monitoring which includes collecting the observed data over time across a volume of space large enough to exhibit significant internal variation 1 . Geosensor network is a kind of sensor networks which is designed to measure data related to geospatial information 2 . It could be useful to detect the conditions of remote place as a new instrument for environmental monitoring in the physical world 3 . For example there are various kinds of applications such as seabird habitat monitoring microclimate chaparral transects building comfort and intrusion detection. We design and implement an air pollution monitoring system based on geosensor network. It employs the context model for understanding the status of air pollution on .