The week's pick
Reseach Article
Exchanging of Information between Cloud Computing Server and Sensor Node for Effective Application Development
| International Symposium on Devices MEMS, Intelligent Systems & Communication |
| Foundation of Computer Science USA |
| ISDMISC - Number 5 |
| None 2011 |
| Authors: Rinku Sen |
| 69b35430-6cf0-425d-9d2c-2c73aa9619f5 |
Rinku Sen . Exchanging of Information between Cloud Computing Server and Sensor Node for Effective Application Development. International Symposium on Devices MEMS, Intelligent Systems & Communication. ISDMISC, 5 (None 2011), 31-34.
Abstract
Cloud computing is now becoming very popular in todayâs business world. The small businesses which are not capable of bringing in the new technology due to the shortage of fund, they can easily get their services from cloud computing in exchange of nominal charges. In this paper I have tried to extend the facilities of cloud computing to sensor networks. The sensor node has limited processing capacity and memory. So if some tasks from the sensor nodes can be uploaded to the server of cloud computing then the battery life of the sensor nodes can be extended. The cloud computing can be used both for processing of aggregate query and storage of data. The cloud service provider can use different sensor network at different time to create new service. For establishment of the shortest path between sensor networks and cloud servers, ant colony optimization technique is used. Determination of shortest path facilitates efficient query processing and data storage. In case of any failure of sensor nodes or server nodes, alternative path can be selected for faster response time, compromising the shortest distance for the time being, and then ant colony optimization technique can be used again to find the shortest path.
References
- Himanshu Gupta, Samir R. Das, Quinyi Gu; âConnected Sensor Cover:Self-Organization of Sensor networks for efficient query executionâ; MobiHoc '03 Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing; ISBN:1-58113-684-6.
- Jing Tian, Weiyu Yu, Shengli Xie 2008; âAn Ant Colony Optimization Algorithm For Image Edge Detectionâ; Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress; pp. 751-756; Print ISBN: 978-1-4244-1822-0.
- Saad Ghaleb Yaseen, Nada M. A.AL-Slamy; âAnt Colony Optimisationâ; IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.6, June 2008. pp. 351-357.
- Selcuk Okdem and Dervis Karaboga; âRouting in Wireless Sensor Network using Ant Colony Optimisation using Routing Chipâ; Sensors, vol. 9, pp. 909-921, 2009.
- Srdjan Krco, Mattias Johansson, Vlasios Tsiatsis, âA Common Sense Approach to Real-world Global Sensingâ, Proceedings of the SenseID: Convergence of RFID and Wireless Sensor Networks and their Applications workshop, ACM SenSys 2007, Sydney, Australia, November 2007.
- Arabinda Nanda, Amiya kumar Rath, Saroj Kumar Rout, âNode Sensing and Dynamic Discovering Routes for wireless sensor networksâ; International Journal of Computer Science and Information Security; Vol. 7, No. 3, March 2010; pp. 122-131; ISSN: 1947-5500.
- Marco Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle, editors; âAnt Colony Optimization and Swarm Intelligenceâ: 5th International Workshop, ANTS 2006, volume 4150 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, Germany, 2006.
- Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin, John Heidemann, Fabio Silva, âDirected Diffusion for Wireless Sensor Networkâ; Networking, IEEE/ACM Transactions; Feb 2003; Volume: 11 Issue:1; pp. 2-16; ISSN: 1063-6692.
- Miia Vainio, âLink Reversal Routingâ; Nokia Group; URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.19.1663&rep=rep1&type=pdf.
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