A Survey on Sensor Cloud: Architecture and Applications
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International Journal of P2P Network Trends and Technology (IJPTT) | |
© 2014 by IJPTT Journal | ||
Volume - 4 Issue - 2 |
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Year of Publication : 2014 | ||
Authors : Mr.K.Sindhanaiselvan , Ms.T.Mekala |
Citation
Mr.K.Sindhanaiselvan , Ms.T.Mekala ."A Survey on Sensor Cloud: Architecture and Applications". International Journal of P2P Network Trends and Technology (IJPTT), V4(2):1-7 Mar - Apr 2014, ISSN:2249-2615, www.ijpttjournal.org. Published by Seventh Sense Research Group.
Abstract
Cloud Computing is a part of computer science and it enables providing Internet services to external customers via very scalable computing capacities. It is abstracted, controlled and high-scalable computer infrastructure which hosts applications for clients. Data services are located in shared, dynamic and scalable set of resources based on technologies of virtualization and scalable application environments. Wireless Sensor Networks can be used for collecting these data because they present distributed systems which consists of different sensor nodes. Sensors are spatially distributed and they are used for measuring different values, such as temperature, humidity, sound levels, pressure, environment variables etc.Many researchers have cited different types of technology in this context. But the application scenario are of important consideration while designing a specific protocol for Sensor network with reference to Cloud Computing. In this paper, we surveyed some typical applications of Sensor Network using Cloud computing as backbone. Since Cloud computing provides plenty of application, platforms and infrastructure over the Internet; it may combined with Sensor network in the application areas such as environmental monitoring, weather forecasting, transportation business, healthcare, military application etc. Bringing various WSNs deployed for different applications under one roof and looking it as a single virtual WSN entity through cloud computing infrastructure is novel.
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Keywords
Wireless sensor networks, Cloud, computing.