Abstract
The region covered by monitoring system is vast in a large-scale smart grid. Traditional grid has the latency problem on the query of the historical data on server which cannot satisfy the needs of the smart grid real-time monitoring and real-time control. Furthermore, the global query in wireless sensor network (WSN) of the monitoring system cannot meet the requirement of users to query flexibly at any area, and needs high communication cost. Therefore, an efficient query for a large-scale smart grid becomes a key issue to be solved in the present smart grid research. On the basis of previous research, this paper proposes a query approach in support of variable physical window in large-scale smart grid. The approach uses physical window describing actual area of query which is variable according to user need. And through selecting query tree and node inside the query tree, physical window is modified to achieve high efficiency and flexible query. Experiments show that the approach can realize the queries for any physical regions, while reduce the cost of network communication and extend the lifetime for the monitoring system network.
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References
Gungor, V.C., Lu, B., Hancke, G.P.: Opportunities and Challenges of Wireless Sensor Networks in Smart Grid. IEEE Trans. on Ind. Electron. 57(10), 3557–3564 (2010)
Gungor, V.C., Sahin, D., Kocak, T., et al.: Smart grid technologies: communication technologies and standards. IEEE Transactions on Industrial Informatics 7(4), 529–539 (2011)
He, H., Kusiak, A.: Special Issue on Computational Intelligence in Smart Grid. IEEE Computational Intelligence Magazine 6(3), 12–64 (2011)
Yuan, X., Qian, Z.X., Zhou, Y., et al.: Discussion on the development trend of smart grid and its key technology. In: 2012 China International Conference on Electricity Distribution (CICED), pp. 1–8. IEEE (2012)
Erol-Kantarci, M., Mouftah, H.T.: Wireless sensor networks for smart grid applications. In: 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC), pp. 1–6. IEEE (2011)
Stokes, A.B., Fernandes, A.A.A., Paton, N.W.: Adapting to Node Failure in Sensor Network Query Processing. In: Gottlob, G., Grasso, G., Olteanu, D., Schallhart, C. (eds.) BNCOD 2013. LNCS, vol. 7968, pp. 33–47. Springer, Heidelberg (2013)
Wang, G., Xin, J., Chen, L., et al.: Energy-efficient reverse skyline query processing over wireless sensor networks. IEEE Transactions on Knowledge and Data Engineering 24(7), 1259–1275 (2012)
Wang, Y., Deng, Q., Liu, W., Song, B.: A Data-Centric Storage Approach for Efficient Query of Large-Scale Smart Grid. In: The 9th Web Information System and Application Conference, WISA 2012 (2012)
Liao, W.H., Shih, K.P., Wu, W.C.: A grid-based dynamic load balancing approach for data-centric storage in wireless sensor networks. Computers and Electrical Engineering 36(1), 19–30 (2010)
Fagin, R., Lotem, A., Naor, M.: Optimal aggregation algorithms for middleware. Journal of Computer and System Sciences 66(4), 614–656 (2003)
Lin, X., Yuan, Y., Wang, W.: Efficient skyline computation over sliding windows. In: Proceedings of the 21st International Conference on Data Engineering, pp. 502–513 (2005)
Song, B.: Data storage method supporting large-scale smart grid. Journal of Computer Applications 32(9), 2496–2499 (2012)
Mitzenmacher, M.: Compressed Bloom Filters. IEEE/ACM Transactions on Networking 10(5), 604–612 (2002)
Chen, H., Li, M., Jin, H., Liu, Y., Ni, L.M.: MDS: Efficient Multi-dimensional Search in Wireless Sensor Networks. In: IEEE RTSS 2008, Barcelona, Spain, November 30-December 3 (2008)
Borzsonyi, S., Stocker, K., Kossmann, D.: The Skyline operator. In: Proceedings of the 17th International Conference on Data Engineering, Heidelberg, Germany, pp. 421–430 (2001)
Wang, X.: MAIQS: Mobile Agent Based Intelligent Query Method 1for Wireless Sensor Network. Chinese Journal of Sensors and Actuators 21(9), 1613–1622 (2008)
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Wang, Y., Deng, Q., Liu, W., Song, B. (2014). A Query Approach of Supporting Variable Physical Window in Large-Scale Smart Grid. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_34
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DOI: https://doi.org/10.1007/978-3-319-08010-9_34
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