• DocumentCode
    3103428
  • Title

    Integrating cloud-WSN to analyze weather data and notify SaaS user alerts during weather disasters

  • Author

    Arjun, D.S. ; Bala, Arunachalam ; Dwarakanath, V. ; Sampada, K.S. ; Prahlada Rao, B.B. ; Pasupuleti, Haribabu

  • Author_Institution
    Dept. of Comput. Sci., RNSIT Coll., Bangalore, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    899
  • Lastpage
    904
  • Abstract
    This paper presents an enhanced architecture for integrating cloud with wireless sensor networks to analyze weather data and notify SaaS users alert during weather disasters at low cost. The occurrence of natural disasters affects lives, damages property and changes our lives completely. Existing system does not support node and network level virtualization for weather sensors. The proposed system overcomes the above limitation by deployment of WSN infrastructure for multiple weather applications using virtual sensor and overlay concept. Monitoring weather data and providing SaaS and social network disaster alerts based on decision ID3 technique and provide cloud authentication using secure shell. These factors improve and provide high quality disaster alters to users and weather analysts at low cost.
  • Keywords
    cloud computing; disasters; geophysics computing; message authentication; social networking (online); virtualisation; weather forecasting; wireless sensor networks; SaaS user alert; WSN infrastructure; cloud authentication; cloud-WSN; decision ID3 technique; natural disaster; network level virtualization; overlay concept; social network disaster alert; virtual sensor; weather data monitoring; weather disaster; weather sensor; Cloud computing; Clouds; Meteorology; Temperature sensors; Virtualization; Wireless sensor networks; Cloud computing; SaaS; Smart cities; Weather disasters; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154835
  • Filename
    7154835