Abstract
This paper designs and implements an intelligent ubiquitous sensor network architecture for agricultural and livestock farms which embrace a variety of sensors and create a great volume of sensor data records. For the sake of efficiently and accurately detecting the specific events out of the great amount of sensor data which may include not just erroneous terms but also correlative attributes, the middleware module embeds an empirical event patterns and knowledge description. For the filtered data, data mining module opens an interface to define the relationship between the environmental aspect and facility control equipments, set the control action trigger condition, and integrate new event detection logic. Finally, the remote user interface for monitoring and control is implemented by on Microsoft Windows, Web, and mobile device applications.
This research was supported by the MKE (The Ministry of Knowledge Economy), through the project of Region technical renovation, Republic of Korea.
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Lee, J., Kim, HJ., Park, GL., Kwak, HY., Kim, C.M. (2011). Intelligent Ubiquitous Sensor Network for Agricultural and Livestock Farms. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2011. Lecture Notes in Computer Science, vol 7017. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24669-2_19
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DOI: https://doi.org/10.1007/978-3-642-24669-2_19
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