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HiCHO: Attributes Based Classification of Ubiquitous Devices

  • Shachi Sharma
  • Shalini Kapoor
  • Bharat R. Srinivasan
  • Mayank S. Narula
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 104)

Abstract

An online and incremental clustering method to classify heterogeneous devices in dynamic ubiquitous computing environment is presented. The proposed classification technique, HiCHO, is based on attributes characterizing devices. These can be logical and physical attributes. Such classification allows to derive class level similarity or dissimilarity between devices and further use it to extract semantic information about relationship among devices. The HiCHO technique is protocol neutral and can be integrated with any device discovery protocol. Detailed simulation analysis and real-world data validates the efficacy of the HiCHO technique and its algorithms.

Keywords

Cluster Algorithm Similarity Index Logical Attribute Cluster Representative Commonality Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Shachi Sharma
    • 1
  • Shalini Kapoor
    • 1
  • Bharat R. Srinivasan
    • 2
  • Mayank S. Narula
    • 3
  1. 1.IBM Research LaboratoryNew DelhiIndia
  2. 2.Georgia Institute of TechnologyAtlantaUnited States
  3. 3.Indian Institute of TechnologyKharagpurIndia

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