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
Link To Document :
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