• DocumentCode
    1780449
  • Title

    Event matching based on subscriber category in sensor cloud

  • Author

    Grace, S. Shakena ; Sumalatha, M.R.

  • Author_Institution
    Dept. of Inf. Technol., Anna Univ., Chennai, India
  • fYear
    2014
  • fDate
    10-12 April 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Sensor cloud infrastructure is composed of wireless sensor network and cloud computing technology. The limitation of wireless sensor network can be overcome by integrating it with cloud. The sensor data are collected and stored in cloud for processing that helps to make real time alert in critical situation used for future analysis. Distributing the sensor data to appropriate subscriber is more important. In existing work many event matching algorithms are discussed. The matching is performed on the basis of their predicates and requires more space for indexing all the predicate values. In our proposed work publisher/subscriber model has been taken. In the first stage, subscriptions are categorized on the basis of their privilege and in next stage the events will be matched to the subscription. By this method the subscription storing and matching can be made easier and faster.
  • Keywords
    cloud computing; middleware; wireless sensor networks; cloud computing technology; event matching algorithms; predicate values indexing; publisher/subscriber model; real time alert; sensor cloud infrastructure; sensor data distribution; subscriber category; subscription matching; subscription storing; subscriptions categorization; wireless sensor network; Cloud computing; Indexing; Monitoring; Subscriptions; Water pollution; Wireless sensor networks; Sensor cloud; event matching; indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Trends in Information Technology (ICRTIT), 2014 International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1109/ICRTIT.2014.6996171
  • Filename
    6996171