International Journal of P2P
Network Trends and Technology

Research Article | Open Access | Download PDF
Volume 4 | Issue 2 | Year 2014 | Article Id. IJPTT-V6P401 | DOI : https://doi.org/10.14445/22492615/IJPTT-V6P401

A Survey on Sensor Cloud: Architecture and Applications


Mr.K.Sindhanaiselvan , Ms.T.Mekala

Citation :

Mr.K.Sindhanaiselvan , Ms.T.Mekala, "A Survey on Sensor Cloud: Architecture and Applications," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 2, pp. 1-7, 2014. Crossref, https://doi.org/10.14445/22492615/IJPTT-V6P401

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.

Keywords

Wireless sensor networks, Cloud, computing.

References

 [1] Andrzej Kochut et al., ―Desktop Workload Study with Implications for Desktop Cloud Resource Optimization‖, IEEE, Publisher, Location, 2010, 978-1-4244-6534-7/10.
 [2] P. Mell and T. Grance, ―Draft nist working definition of cloud computing‖, 21. Aug 2005.
[3] M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, and I. Stoica, ―Above the clouds: A Berkeley view of cloud computing‖, EECS Department, University of California, Berkeley, Tech., 2009, Rep. UCB/EECS-2009-28.
 [4] M. M. Hassan, B. Song, and E. N. Huh, ―A framework of sensor—cloud integration opportunities and challenges,‖ in Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (ICUIMC '09), pp. 618–626, ACM, Suwon, Republic of Korea, January 2009. View at Publisher · View at Google Scholar · View at Scopus
 [5] S. K. Dash, J. P. Sahoo, S. Mohapatra, and S. P. Pati, ―Sensorcloud: assimilation of wireless sensor network and the cloud,‖ in Advances in Computer Science and Information Technology. Networks and Communications, vol. 84, pp. 455–464, SpringerLink, 2012.
 [6] R. S. Ponmagal and J. Raja, ―An extensible cloud architecture model for heterogeneous sensor services,‖ International Journal of Computer Science and Information Security, vol. 9, no. 1, 2011.
[7] J. Heidemann, F. Silva, C. Intanagonwiwat, R. Govindan, D. Estrin, and D. Ganesan, ―Building efficient wireless sensornetworks with low-level naming,‖ in Proceedings of the Symposium on Operating Systems Principles, pp. 146–159, ACM, Alberta, Canada, October 2001.
 [8] S. K. Dash, S. Mohapatra, and P.K. Pattnaik, ―A survey on applications of Wireless Sensor Network using Cloud Computing,‖ International Journal of Computer Science and Emerging Technologies, vol. 1, no. 4, 2010.
 [9] T.-D. Nguyen and E.-N. Huh, ―An efficient key management for secure multicast in Sensor-Cloud‖,‖ in Proceedings of the IEEE 1st ACIS/JNU International Conference on Computers, Networks, Systems, and Industrial Engineering, 2011.
 [10] K. Ahmed and M. Gregory, ―Integrating wireless sensor networks with cloud computing,‖ in Proceedings of the 7th International Conference on Mobile Ad-hoc and Sensor Networks (MSN '11), pp. 364–366, Beijing, China, 2011. View at Publisher · View at Google Scholar
 [11]L. P. D. Kumar, S. S. Grace, A. Krishnan, V. M. Manikandan, R. Chinraj, and M. R. Sumalatha, ―Data filtering in wireless sensor networks using neural networks for storage in cloud,‖ in Proceedings of the IEEE International Conference on Recent Trends in Information Technology (ICRTIT '11), 2012.
 [12] R. Ian, C. Michele, J. Ho Young, M. Zoltan, and A. Karl, ―Building a front end interface for sensor data cloud,‖ in Proceedings of the 2nd International Conference on Signals, Systems and Automation (ICSSA '11), vol. 6784 of Lecture Note in Computer Science, 2011.
[13] J. Cen, T. Yu, Z. Li, S. Jin, and S. Liu, ―Developing a disaster surveillance system based on wireless sensor network and cloud platform,‖ in Proceedings of the IET International Conference on Communication Technology and Application (ICCTA '11), pp. 757–761, Beijing, China, 2012.
 [14] M. Baktashmotlagh, A. Bigdeli, and B. C. Lovell, ―Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs,‖ in Proceedings of the 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS '11), pp. 455–460, Klagenfurt, Austria, 2011. View at Publisher · View at Google Scholar.
 [15] C. Doukas and I. Maglogiannis, ―Managing wearable sensor data through cloud computing,‖ in Proceedings of the IEEE 3rd International Conference on Cloud Computing, 2011.
 [16] V. V. Tan, D. S. Yoo, and M. J. Yi, ―Design and implementation of Web service by using OPC XML-DA and OPC complex data for automation and control systems,‖ in Proceedings of the 6th IEEE International Conference on Computer and Information Technology (CIT '06), p. 263, IEEE, September 2006. View at Publisher · View at Google Scholar · View at Scopus
 [17] V. Rajesh, J. M. Gnanasekar, R. S. Ponmagal, and P. Anbalagan, ―Integration of wireless sensor network with cloud,‖ in Proceedings of the International Conference on Recent Trends in Information, Telecommunication, and Computing (ITC '10), pp. 321–323, March 2010. View at Publisher · View at Google Scholar · View at Scopus
 [18] K. Lee, D. Murray, D. Hughes, and W. Joosen, ―Extending sensor networks into the Cloud using Amazon web services,‖ in Proceedings of the 1st IEEE International Conference on Networked Embedded Systems for Enterprise Applications (NESEA '10), pp. 1–7, November 2010. View at Publisher · View at Google Scholar · View at Scopus