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Event Matching Algorithm to Collaborate Sensor Network and the Cloud through a Middleware Service

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Web-Age Information Management (WAIM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7901))

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Abstract

Cloud computing and virtual communities have been changing the face of communication. Cloud computing covers almost every services and provides most of data services. On the other hand, wireless sensor networks (WSN) gained attention for their potential supports such as environment monitoring, bio-median acknowledgment, healthcare monitoring, industrial automation etc. But this sensor network is not available to community groups or cloud environment for general purpose research or utilization yet. If we can reduce the gap between real and virtual world by adding this WSN produced data to cloud environment and virtual communities to alert the general researchers about environmental situations, it can gain a remarkable attention all over and we can be benefited in all our ability. To do this we need to make collaboration between sensor networks and the cloud environment. Here we have proposed a pub/sub based middleware service for WSN and Cloud platform collaboration which will provide resource, service, and storage with sensor driven data to the community. We proposed a content based event matching algorithm to analyze subscriptions and match proper content easily to convey WSN driven data to subscribers. The validation shows this content matching algorithm works efficiently compared with previously proposed algorithms to integrate WSN to cloud environment to lower the gap between real and virtual world.

This research is supported by WBS (World Best S/W) Development Project, Grants No. 10040957, funded by Ministry of Knowledge Economy 2011.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Anyang University, South Korea

    Mohammad Hasmat Ullah & Sung-Soon Park

  2. Gluesys Co., Ltd., South Korea

    Gyeong Hun Kim

Authors
  1. Mohammad Hasmat Ullah
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  2. Sung-Soon Park
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  3. Gyeong Hun Kim
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Editor information

Editors and Affiliations

  1. College of Computer Science, Zhejiang University, Hangzhou, China

    Yunjun Gao

  2. Seoul National University, Seoul, Korea

    Kyuseok Shim

  3. Institute of Software, Chinese Academy of Sciences, South-Fourth-Street 4, Zhong-Guan-Cun, 100190, Beijing, P.R. China

    Zhiming Ding

  4. School of Computer Science and Technology, University of Science and Technology of China, 230027, Hefei, China

    Peiquan Jin

  5. School of Computer Science and Technology, Hangzhou Dianzi University, 310018, Hangzhou, China

    Zujie Ren

  6. Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, 300384, Tianjin, China

    Yingyuan Xiao

  7. CityU-USTC Advanced Research Institute, Suzhou, China

    An Liu

  8. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, China

    Shaojie Qiao

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© 2013 Springer-Verlag Berlin Heidelberg

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Ullah, M.H., Park, SS., Kim, G.H. (2013). Event Matching Algorithm to Collaborate Sensor Network and the Cloud through a Middleware Service. In: Gao, Y., et al. Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39527-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-39527-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39526-0

  • Online ISBN: 978-3-642-39527-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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