Applying model-driven development to environment monitoring System
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Environmental monitoring is critical in understanding whether the quality of our environment is getting better or worse. Information gathered by using an environmental monitoring system is important to make decisions. Vietnam is a vulnerable country of climate change. Specially, in the South of Vietnam, the Mekong delta is known as the region getting the most impact of sea level rise in Vietnam. That leads to a lot of problems making the worst effects to residents in the area, who are mainly still very poor. On the other hand, Vietnam is going on industrialization process that makes a strong effect on the environment. To deal with these challenges, different projects of environment management have been proposed and implemented and many monitoring systems have been built in those projects. Those systems are basically sensor networks with high cost in developing and maintaining. They are related to modern technology such as cloud, communication mobile and wireless. They provide the data for large community for different purposes. Therefore, building such a system is normally a long term project that requires an incremental and modular development for a complex system. This paper, on one hand, represents some common characteristics of an environment monitoring system that requires more study to develop a formal model and a methodology for their specifications, implementations and verification. On the other hand, we would like to adapt the formal model approach proposed for Intelligent Transport Systems (ITS) to an environmental monitoring system. The framework of Baobab is also introduced as an example for transformation from model to code.
[1] Pruet Boonma,et al. Extensible and Precise Modeling for Wireless Sensor Networks , 2009, UNISCON.
[2] Bernhard Rumpe,et al. Model-driven Development of Complex Software : A Research Roadmap , 2007 .
[3] Douglas C. Schmidt,et al. Model-Driven Engineering , 2006 .
[4] Peri L. Tarr,et al. Model-driven development : The good , the bad , and the ugly & , 2006 .