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Volume 29 Issue 6
Nov.  2016
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Journal of Southwest Jiaotong University  > 2016  >  29(6): 1239-1249.
LI Min, NI Shaoquan, HUANG Qiang, YANG Yuhua. Intelligent Interaction Model of Internet of Things Based on Context Awareness[J]. Journal of Southwest Jiaotong University, 2016, 29(6): 1239-1249. doi: 10.3969/j.issn.0258-2724.2016.06.026
Citation: LI Min, NI Shaoquan, HUANG Qiang, YANG Yuhua. Intelligent Interaction Model of Internet of Things Based on Context Awareness[J]. Journal of Southwest Jiaotong University, 2016, 29(6): 1239-1249. doi: 10.3969/j.issn.0258-2724.2016.06.026
shu

Intelligent Interaction Model of Internet of Things Based on Context Awareness

doi: 10.3969/j.issn.0258-2724.2016.06.026
  • Received Date: 07 Apr 2014
  • Publish Date: 25 Dec 2016
    Abstract
  • In order to improve the real-time performance of system in Internet of Things (IOTs), an intelligent interaction model of IOTs based on context awareness (IITCA) and Storm framework was proposed. In this model, heterogeneous and unstructured data processed in IOTs are abstracted as context, and three core modules, namely context adaption, context storage and context perception are constructed. In addition, a continual rule matching algorithm based on Storm is put forward to solve the problem of fuzzy matching between contexts and rules. Experiment results show that with a sample size close to 1 000, IITCA is of the same effectiveness with manual operation; at the same time, IITCA has an equivalent data throughput capability to the model based on Hadoop. Besides, when Spout is set to 3 and Bolt is set to 6, the delay of data processing is stable to 50 ms, which can satisfy the real-time performance requirement.

     

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