Abstract
The high cost of existing industrial control systems prevents their implementation at small or medium size industrial plants. This paper describes a new architecture, based on low-power wireless sensor networks for remote monitoring and control of industrial equipment in small size plants. Through the use of very low consumption wireless devices, proposed architecture provides a low cost distributed control system easily deployable in small facilities.
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References
Gutierrez, J.A.: IEEE 802.15.4, Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensor Networks. Institute of Electrical & Electronics Enginee (2003) ISBN: 0738135577
Kouba, A., Alves, M., Attia, M., Van Nieuwenhuyse, A.: Collision-Free Beacon Scheduling Mechanisms for IEEE 802.15.4/Zigbee Cluster-Tree Wireless Sensor Networks. In: 7th International Workshop on Applications and Services in Wireless Networks (ASWN 2007), Santander, Spain (May 2007)
Liang, N.C., Chen, P.C., Sun, T., Yang, G., Chen, L.J., Gerla, M.: Impact of Node Heterogeneity in ZigBee Mesh Network Routing. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2006), Taipei, Taiwan (2006)
Jeon, J., Lee, J.W., Ha, J.Y., Kwon, W.H.: DCA: Duty-Cycle Adaptation Algorithm for IEEE 802.15.4 Beacon-Enabled Networks. In: IEEE 65th Vehicular Technology Conference (VTC2007-Spring), Dublin, pp. 110–113 (2007)
Egan, D.: The emergence of ZigBee in building automation and industrial controls. Comput. Control Eng. 16, 14 (2005), doi:10.1049/cce:20050203
Chen, A.F., Wang, N., German, R., Dressler, F.: Performance Evaluation of IEEE 802.15.4 LR-WPAN for Industrial Applications. In: Proceedings of 5th IEEE/IFIP Conference on Wireless On demand Network Systems and Services (IEEE/IFIP WONS 2008), Garmisch- Partenkirchen, Germany, January 2008, pp. 89–96 (2008)
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Angulo, I., Perallos, A., Sainz, N., Hernandez-Jayo, U. (2010). Low Cost Architecture for Remote Monitoring and Control of Small Scale Industrial Installations. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_24
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DOI: https://doi.org/10.1007/978-3-642-14883-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14882-8
Online ISBN: 978-3-642-14883-5
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