Abstract
This Paper illustrates the usage of WSN in Crockery manufacturing unit. The paper has aimed to improve the production process with the help of Wireless Sensors in such a way that not only the system will be fault tolerant but it shall also be measured against the financial gains within the industry after inclusion of such sensors within the production unit. The research has focused to encounter slenderest negligence by the human resource that can result in loss of any produced item. The methodology explained will also provide mental relief to the human resource worker who is required to be at surveillance of produced items at all times during the manufacturing process in order to save the item from overheating, that may result in item loss. Another important feature of this research is to present WSN in such a way that the machinery used for Crockery production will be complete automatic i.e. without human interference process, which has not been practiced previously in this domain. The manufacturing unit of crockery is based in Pakistan and all the data and information presented in paper is taken from there.
Keywords: wireless sensor networks, crockery manufacturing, fault tolerance
Keywords
References
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Abstract
References
- B. Warneke and K. Pister, “MEMS for distributed wireless sensor networks,” in Proceedings of the 9th International Conference on Electronics, Circuits and Systems, vol. 1, pp. 291–294,2002.
- I. Khemapech, I. Duncan, and A. Miller, “A survey of wireless sensor networks technology,” in Proceedings of the 6th Annual Postgraduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting, 2005.
- B. Sheng, C. C. Tan, L. Qun, W. Mao, “An Approximation Algorithm for Data Storage Placement in Sensor Networks”, International Conference on Wireless Algorithms, Systems and Applications,WASA,pp.71-78,2007.
- G. Dawud, M. Beigl, “A Study on the Use of Wireless Sensor Networks in a Retail Store,” Distributed and Ubiquitous Computing Institute for Operating Systems and Computer Networks Technical University of Braunschweig,Germany,pp.1-3, 2009.
- L. Krishnamurthy, R. Adler, P. Buonadonna, J. Chhabra, M. Flanigan, N. Kushalnagar, L. Nachman, and M. Yarvis. Design and deployment of industrial sensor networks: Experiences from a semiconductor plant and the north sea. In SenSys ’05: 3rd International Conference on Embedded Networked Sensor Systems, pages 64–75. ACM, November 2005.
- F. Murphy, D. Laffey, B. O’Flynn, J. Buckley, and J. Barton. Development of a wireless sensor network for collaborative agents to treat scale formation in oil pipes. In EWSN, pages 179–194, 2007
- I. Stoianov, L. Nachman, S. Madden, and T. Tokmouline. Pipeneta wireless sensor network for pipeline monitoring. In IPSN, pages 264–273, 2007.
- A. Tiwari, F.L. Lewis, and S.S. Ge. Wireless sensor network for machine condition based maintenance. In Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th, volume 1, pages 461 – 467 Vol. 1, dec. 2004.
- P. Wright, D. Dornfeld, and N. Ota. Condition monitoring in end-milling using wireless sensor networks. Transactions of NAMRI/SME, 36, 2008.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | August 26, 2016 |
| Submission Date | August 24, 2016 |
| Published in Issue | Year 2016Volume: 2 Issue: 5 |
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