Abstract
Sensor grid deployments integrate wireless sensor networks (WSNs) and Grid Computing (GC) into a merged platform. A middleware architecture is a prerequisite for sensor grids in order to bridge the two heterogeneous technologies and efficiently support aggregated grid services available to a large number of grid users. On the other hand, the energy conservation of the participating sensor nodes is an essential factor for QoS provisioning, thereby extending WSNs survivability and providing diversity to potential grid services. For the best of our knowledge, power awareness for middleware architectures for sensor grids has never been studied in the literature so far. The rationale of our work employs a scheduler which provides QoS to the grid users from an energy awareness perspective by interacting with an appropriate resource manager. Our simulations show the effectiveness of the proposed scheme whereas a proxy-based middleware for sensor grids has been adapted.
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References
Tham, C.-K., Buyya, R.: SensorGrid: Integrating Sensor Networks and Grid Computing. Special Issue on Grid Computing (2005), http://www.gridbus.org/reports/sensor-grid.pdf
Pantazis, N., Vergados, D.D., Miridakis, N.I., Vergados, D.J.: Power control schemes in wireless sensor networks for homecare e-health applications. In: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments, Athens, Greece (2008)
Lim, H.-B., Teo, Y.-M., Mukherjee, P., Lam, V.-T., Wong, W.-F., See, S.: Sensor Grid: Integration of Wireless Sensor Networks and the Grid. In: The IEEE Conference on Local Computer Networks, pp. 91–99 (2005)
Franke, H.A., Koch, F.L., Rolim, C.O., Westphall, C.B., Balen, D.O.: Grid-M: Middleware to Integrate Mobile Devices, Sensors and Grid Computing. In: Third International Conference on Wireless and Mobile Communications (2007)
Rao, I., Imran, N., Khan, S., Huh, E.-N., Chung, T.: Adaptive and Reconfigurable ResOurce Management for Wireless Sensors using Grid Technology. In: 2nd International Conference on Communication Systems Software and Middleware, COMSWARE, pp. 1–5 (2007)
Gaynor, M., Moulton, S.L., Welsh, M., Lacombe, E., Rowan, A., Wynne, J.: Integrating Wireless Sensor Networks with the Grid. IEEE Internet Computing 8(4), 32–39 (2004)
Stathis, K., Kafetzoglou, S., Papavassiliou, S., Bromuri, S.: Sensor Network Grids: Agent Environments Combined with QoS in Wireless Sensor Networks. In: Third International Conference on Autonomic and Autonomous Systems (2007)
YuJie, Y., Shu, W.: The key research on integrating wireless sensor network with grid. In: Proceedings, International Conference on Wireless Communications, Networking and Mobile Computing, vol. 2, pp. 1477–1480 (2005)
Miridakis, N.I., Vergados, D.D., Anagnostopoulos, I., Douligeris, C.: A discussion on proxy-based middleware for Sensor Grid Architectures. In: 4th EGEE User Forum/OGF25 & OGF-Europe’s 2nd International Event, Catania, Sicily, Italy (2009)
Crossbow, MICA2 wireless measurement system. Datasheet available from, http://www.xbow.com/products/Product_pdf_files/Wireless_pdf/MICA2_Datasheet.pdf
Piotrowski, K., Langendoerfer, P., Petter, S.: How public key cryptography influences wireless sensor node lifetime. In: The proceedings of 4th ACM Workshop on Security of ad hoc and Sensor Networks, pp. 169–176 (2006)
Bouabdallah, F., Bouabdallah, N., Boutaba, R.: On Balancing Energy Consumption in Wireless Sensor Networks. IEEE Transactions on Vehicular Technology 58(6) (2009)
Gaynor, M., Moulton, S.L., Welsh, M., LaCombe, E., Rowan, A., Wynne, J.: Integrating Wireless Sensor Networks with the Grid. IEEE Internet Computing 8(4), 32–39 (2004)
Tuecke, S., Czajkowski, K., Foster, I., Frey, J., Graham, S., Kesselman, C., Maquire, T., Sandholm, T., Snelling, D., Vanderbilt, P.: Open Grid Services Infrastructure (OGSI) Version 1.0, Global Grid Forum (2003)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Miridakis, N.I., Giotsas, V., Vergados, D.D., Douligeris, C. (2009). A Novel Power-Efficient Middleware Scheme for Sensor Grid Applications. In: Bartolini, N., Nikoletseas, S., Sinha, P., Cardellini, V., Mahanti, A. (eds) Quality of Service in Heterogeneous Networks. QShine 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10625-5_30
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DOI: https://doi.org/10.1007/978-3-642-10625-5_30
Publisher Name: Springer, Berlin, Heidelberg
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