TAILIEUCHUNG - Smart Wireless Sensor Networks Part 3

Tham khảo tài liệu 'smart wireless sensor networks part 3', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 3 Smart Environments and Cross-Layer Design L. Ozlem KARACA and Radosveta SOKULLU Dokuz Eylul Univesity Ege University Turkey 1. Introduction In the last decade we have witnessed a really unpredicted boom in the number and variety of applications based on wireless sensor networks WSN . From environment monitoring and military applications to health care and event tracking applications both the diversity and complexity of the nodes themselves and their networked applications have increased immensely Yick et al. 2008 . A combination of consumer demand for more efficient integrated systems and a steep drop in the price of hardware fuelled by manufacturing process improvements has resulted in a noticeable upward cycle of research in the field of networks that not only sense the data but also provide automated reaction to specific situations known as Wireless Sensor and Actuator Networks WSAN Akyildiz Kasimoglu 2004 . Smart environments are discussed as the next step in these evolutionary developments in intelligent systems automation related to utilities construction industry home and transportation. The smart environment is defined as one that is able to acquire and apply knowledge about the environment and its inhabitants in order to improve their experience in that environment . The WSN which are in the heart of the smart environments consist of densely deployed microsensor nodes that continuously observe certain physical phenomenon. The existing abundance of WSN applications can be divided into two major groups based on the nature of the supported applications WSN for monitoring and WSN for event detection tracking. A major common feature is that both exploit the collective effort of nodes which have computing transmitting and sensing capabilities. From the user point of view the main objective of WSN is to reliably detect or collect and estimate event features based on the collective information provided by all sensor nodes. From the engineering design point of .

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