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A Sensor Data Processing System for Mobile Application Based Wetland Environment Context-aware

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Ubiquitous Computing and Multimedia Applications (UCMA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 151))

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Abstract

In recent years, with the development of USN(Ubiquitous Sensor Network) technology, the USN technology has, from all aspects of society, evolved in the field of environment, human health, buildings, and other construction sites. And nowadays it is being used as one of situation awareness services that can recognize the situation occurring in the region where USN is installed. However, in the USN environment, data is obtained from a very small sensor node via wireless communication and sensing, operation is conducted, and resources are limited. So in order to provide situation awareness service, QoS(Quality of Service) should be guaranteed and energy efficiency should be maximized.

Therefore, this paper designed and implemented the sensor data processing system, CADPS(Context-aware Data Processing System) which is available to guarantee QoS and maximize energy efficiency in order to apply situation awareness service using USN into the wetland environment. Such system analyzes the overall situation of detailed sensor nodes for the implementation of intelligent personalized services, and designs and implements for data analysis and processing. And compared to the existing USN middleware system, interface is excellent from user’s perspective and energy efficiency is obtained through mobile-based efficient query treatment.

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© 2011 Springer-Verlag Berlin Heidelberg

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Hwang, YC., Oh, RD., Ji, GH. (2011). A Sensor Data Processing System for Mobile Application Based Wetland Environment Context-aware. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Ubiquitous Computing and Multimedia Applications. UCMA 2011. Communications in Computer and Information Science, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20998-7_31

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  • DOI: https://doi.org/10.1007/978-3-642-20998-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20997-0

  • Online ISBN: 978-3-642-20998-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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