Abstract
This paper first presents the sensor data processing framework integrating a power consumption scheduler for control actions, and then analyzes the available power for background tasks which are continuously performed using the remaining power. As the scheduler is designed to reduce the peak load for the given task set, it can make flatter the consumption level of dynamic tasks activated by the event detection. The experiment result obtained from the prototype implementation reveals that the proposed scheme can improve the minimum available power by up to 17.9 %, compared with the Earliest scheduling scheme, having a smaller standard deviation over the slots included in a scheduling window. Hence, our framework can achieve cost savings as the sensor network can purchase a smaller amount of energy from a utility company and can be built with lower power transmission capability.
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References
Culler, D., Estrin, D., Srivastava, M.: Overview of Sensor Networks. IEEE Computer 37, 41–49 (2004)
Lee, J., Park, G., Kwak, H., Kim, C.: Efficient and Extensible Data Processing Framework in Ubiquitous Sensor Networks. In: International Conference on Intelligent Control Systems Engineering, pp. 324–327 (2011)
Golab, L., Oszu, M.: Issues in Data Stream Management. ACM SIGMOD Record 32, 5–14 (2003)
Ghanem, T., Elmagarmid, A., Larson, P., Aref, W.: Supporting Views in Data Stream Management Systems. ACM Transactions on Database Systems 35(1) (2010)
Caron, S., Kesidis, G.: Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid. In: IEEE SmartGridComm. (2010)
Lee, J., Park, G., Kim, S., Kim, H., Sung, C.: Power Consumption Scheduling for Peak Load Reduction in Smart Grid Homes. In: ACM Symposium on Applied Computing, pp. 584–588 (2011)
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© 2011 Springer-Verlag Berlin Heidelberg
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Lee, J., Kim, C.M., Kwak, HY., Han, J. (2011). Available Power Analysis for Background Tasks on Ubiquitous Sensor and Actuator Networks. In: Zheng, D. (eds) Advances in Electrical Engineering and Electrical Machines. Lecture Notes in Electrical Engineering, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25905-0_19
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DOI: https://doi.org/10.1007/978-3-642-25905-0_19
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25904-3
Online ISBN: 978-3-642-25905-0
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