Abstract
Currently, wireless sensor network has been widely used in environment monitoring. The skyline query, as an important operator for multiple criteria decision making and data mining, plays an important role in many sensing applications. Though skyline queries have been well-studied in traditional database system, the existing solutions designed for data stored in a centralized site are not directly applicable to sensor environment due to the unique characteristics of wireless sensor network. In this paper, we propose an energy-efficient algorithm, called Sliding Window Skyline Monitoring Algorithm (SWSMA), to continuously maintain sliding window skylines over a wireless sensor network. Specifically, SWSMA employs two types of filters within each sensor to reduce the amount of data transferred and save the energy consumption as a consequence. In addition to SWSMA, a set of optimization mechanisms are also discussed to improve the performance of SWSMA. Our extensive simulation studies show that SWSMA together with the optimization techniques performs effectively on reducing communication cost and saving the energy on monitoring sliding window skylines.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abadi, D.J., Madden, S., Lindner, W.: REED: Robust, Efficient Filtering and Event Detection in Sensor Networks. In: Proc. of VLDB (2005)
Bonfils, B.J., Bonnet, P.: Adaptive and Decentralized Operator Placement for In-Network Query Processing. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 47–62. Springer, Heidelberg (2003)
Borzonyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: Proc. of ICDE (2001)
Balke, W.-T., Güntzer, U., Zheng, J.X.: Efficient Distributed Skylining for Web Information Systems. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K., Ferrari, E. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 256–273. Springer, Heidelberg (2004)
Chomicki, J., Godfrey, P., Gryz, J., Liang, D.: Skyline with presorting. In: Proc. of ICDE (2003)
Considine, J., Li, F., Kollios, G., Byers, J.: Approximate aggregation techniques for sensor databases. In: Proc. of ICDE (2004)
Chaudhuri, S., Dalvi, N.N., Kaushik, R.: Robust Cardinality and Cost Estimation for Skyline Operator. In: Proc. of ICDE (2006)
Chowdhary, V., Gupta, H.: Communication-Efficient Implementation of Join in Sensor Networks. In: Zhou, L.-z., Ooi, B.-C., Meng, X. (eds.) DASFAA 2005. LNCS, vol. 3453, pp. 447–460. Springer, Heidelberg (2005)
Huang, Z., Jensen, C.S., Lu, H., Ooi, B.C.: Skyline Queries Against Mobile Lightweight Devices in MANETs. In: Proc. of ICDE (2006)
Kossmann, D., Ramsak, F., Rost, S.: Shooting Stars in the Sky: An Online Algorithm for Skyline Queries. In: Proc. of VLDB (2002)
Lo, E., Ip, K., Lin, K.-I., Cheung, D.: Progressive Skylining over Web-Accessible Database. DKE 57(2), 122–147 (2006)
Lin, X., Yuan, Y., Wang, W., Lu, H.: Stabbing the Sky: Efficient Skyline Computation over Sliding Windows. In: Proc. of ICDE (2005)
Madden, S., Franklin, M., Hellerstein, J., Hong, W.: The design of an acquisitional query processor for sensor networks. In: Proc. of SIGMOD (2003)
Madden, S., Franklin, M.J., Hellerstein, J.M., Hong, W.: TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks. In: Proc. of OSDI (2002)
Madden, S., et al.: Supporting aggregate queries over ad-hoc wireless sensor networks. In: Proc. of WMCSA (2002)
Oliver, R., Smettem, K., Kranz, M., Mayer, K.: A Reactive Soil Moisture Sensor Network: Design and Field Evaluation. JDSN 1, 149–162 (2005)
Pandit, A., Gupta, H.: Communication-Efficient Implementation of Range-Joins in Sensor Networks. In: Lee, M.L., Tan, K.-L., Wuwongse, V. (eds.) DASFAA 2006. LNCS, vol. 3882, pp. 859–869. Springer, Heidelberg (2006)
Palmer, C., Gibbons, P., Faloutsos, C.: ANF: A Fast and Scalable Tool for Data Mining in Massive Graphs. In: Proc. of SIGKDD (2002)
Papadias, D., Tao, Y., Fu, G., et al.: An Optimal and Progressive Algorithm for Skyline Querie. In: Proc. of SIGMOD (2003)
Pottie, G., Kaiser, W.: Wireless integrated sensor networks. Communications of the ACM (2000)
Silverman, B.W.: Density Estimation for Statistics and Data Analysis. CRC Press, Boca Raton (1986)
Tan, K.-L., Eng, P.-K., Ooi, B.C.: Efficient progressive skyline computation. In: Proc. Of VLDB (2001)
Tao, Y., Papadias, D.: Maintaining Sliding Window Skylines on Data Streams. TKDE 18(3), 377–391 (2006)
Xue, W., Luo, Q., Chen, L., Liu, Y.: Contour Map Matching For Event Detection in Sensor Networks. In: Proc. of SIGMOD (2006)
Yao, Y., Gehrke, J.: The cougar approach to in-network query processing in sensor networks. SIGMOD Record 31(3) (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xin, J., Wang, G., Chen, L., Zhang, X., Wang, Z. (2007). Continuously Maintaining Sliding Window Skylines in a Sensor Network. In: Kotagiri, R., Krishna, P.R., Mohania, M., Nantajeewarawat, E. (eds) Advances in Databases: Concepts, Systems and Applications. DASFAA 2007. Lecture Notes in Computer Science, vol 4443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71703-4_44
Download citation
DOI: https://doi.org/10.1007/978-3-540-71703-4_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71702-7
Online ISBN: 978-3-540-71703-4
eBook Packages: Computer ScienceComputer Science (R0)