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Automated Construction of Node Software Using Attributes in a Ubiquitous Sensor Network Environment
AbstractIn sensor networks, nodes must often operate in a demanding environment facing restrictions such as restricted computing resources, unreliable wireless communication and power shortages. Such factors make the development of ubiquitous sensor network (USN) applications challenging. To help developers construct a large amount of node software for sensor network applications easily and rapidly, this paper proposes an approach to the automated construction of node software for USN applications using attributes. In the proposed technique, application construction proceeds by first developing a model for the sensor network and then designing node software by setting the values of the predefined attributes. After that, the sensor network model and the design of node software are verified. The final source codes of the node software are automatically generated from the sensor network model. We illustrate the efficiency of the proposed technique by using a gas/light monitoring application through a case study of a Gas and Light Monitoring System based on the Nano-Qplus operating system. We evaluate the technique using a quantitative metric—the memory size of execution code for node software. Using the proposed approach, developers are able to easily construct sensor network applications and rapidly generate a large number of node softwares at a time in a ubiquitous sensor network environment.
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Lee, W.; Kim, J.; Kang, J. Automated Construction of Node Software Using Attributes in a Ubiquitous Sensor Network Environment. Sensors 2010, 10, 8663-8682.View more citation formats
Lee W, Kim J, Kang J. Automated Construction of Node Software Using Attributes in a Ubiquitous Sensor Network Environment. Sensors. 2010; 10(9):8663-8682.Chicago/Turabian Style
Lee, Woojin; Kim, Juil; Kang, JangMook. 2010. "Automated Construction of Node Software Using Attributes in a Ubiquitous Sensor Network Environment." Sensors 10, no. 9: 8663-8682.