Tham khảo tài liệu 'wireless sensor networks application centric design part 5', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 7 Model Based WSN System Implementations Using PN-WSNA for Aquarium Environment Control in a House Ting-Shuo Chen and Chung-Hsien Kuo Department of Electrical Engineering National Taiwan University of Science and Technology Taiwan 1. Introduction Ubiquitous computing architectures are implemented for cognitive sensor networks. Wireless sensor networks cooperating with cognitive science and artificial intelligence are used to develop cognitive sensor networks Shenai et al. 2008 . Therefore a cognitive sensor network is generally represented as a closed loop control system Ruiz et al. 2008 where the feedback data is collected from remote sensor nodes. At the same time the control approaches are desired to deal with regulations of desired operation scenarios and sensor feedbacks. Wireless sensor networks WSN Romer et al. 2004 Akyildiz et al. 2008 are developed using autonomous sensor nodes Dalola et al. 2009 to collect remote sensor data for decision systems with low power consumptions and failure tolerable mechanisms. In general the WSN system can be applied to the factory automation Zhuang et al. 2008 intelligent diagnosis Zhuang et al. 2008 intelligent monitoring and control systems Sridhar et al. 2007 smart home Suh et al. 2008 etc. Practically the challenging issues for developing WSN systems are large amounts of coding and program maintenance efforts for various sensor oriented applications as well as interdisciplinary integrations of domain engineers and WSN engineers. For the first issue diverse control and decision scenarios in a WSN system are developed for different sensor nodes. The coding and maintenance for large scale WSN systems would be huge challenges. The second issue is the problems of interdisciplinary integrations. Coding for sensor nodes is a challenge for domain engineers who are not familiar with programming. According to aforementioned challenging issues model based system implementation approaches are proposed to eliminate the efforts for .
