Abstract
Wireless sensor networks have been widely used for civilian and military applications, such as environmental monitoring and vehicle tracking. The sensor nodes in the network have the abilities to sense, store, compute and communicate. To enable object tracking applications, spatial queries such as nearest neighbor queries are to be supported in these networks. The queries can be injected by the user at any sensor node. Due to the limited power supply for sensor nodes, energy efficiency is the major concern in query processing. Centralized data storage and query processing schemes do not favor energy efficiency. In this paper, we propose a distributed scheme called DNN for in-network processing of nearest neighbor queries. A cost model is built to analyze the performance of DNN. Experimental results show that DNN outperforms the centralized scheme significantly in terms of energy consumption and network lifetime.
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
Pottie, G.: Wireless integrated network sensors. Communications of the ACM 43, 51–58 (2000)
Bonnet, P., Gehrke, J., Seshadri, P.: Towards sensor database systems. In: MDM 2001, pp. 3–14 (2001)
Govindan, R., Hellerstein, J., Hong, W., Madden, S., Franklin, M.: Shenker, S.: The sensor network as a database. Technical Report 02-771, Computer Science Department, University of Southern California (2002)
Tang, X., Xu, J.: Extending network lifetime for precision-constrained data aggregation in wireless sensor networks. In: Proceedings of IEEE INFOCOM 2006, Barcelona, Spain (Accepted to appear, 2006)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Communication Magazine 40, 102–114 (2002)
Intanagonwiwa, c., Govindan, R., Estrin, D.: Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: Proceedings of the 6th Annual ACM/IEEE Mobicom 2000, Boston, MA, USA (2000)
Madden, S., Franklin, M., Hellerstein, J., Hong, W.: The design of an acquisitional query processor for sensor networks. In: Proceedings of ACM SIGMOD 2003, San Diego, CA, US (2003)
Chowdhary, N., 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, Springer, Heidelberg (2005)
Sharaf, M., Beaver, J., Labrinidis, A., Chrysanthis, P.: TiNA: A scheme for temporal coherency-aware in-network aggregation. In: Proceedings of the 3rd International ACM Workshop on Data Engineering for Wireless and Mobile Access, San Diego, CA, USA, pp. 69–76 (2003)
Yao, Y., Gehrke, J.: Query processing for sensor networks. In: Proceedings of the 1st Conference on Innovative Data System Research, Asilomar (2003)
Roussopoulos, N., Kelley, S., Vincent, F.: Nearest neighbor queries. In: Proceedings of ACM SIGMOD 1995, San Jose, CA, USA (1995)
Demirbas, M., Ferhatosmanoglus, H.: Peer-to-peer spatial queries in sensor networks. In: Proceedings of the 3rd IEEE International Conference on Peer-to-Peer Computing, Linkoping, Sweden (2003)
Winter, J., Lee, W.-C.: KPT: A dynamic KNN query processing algorithm for location-aware sensor networks. In: The 1st VLDB Workshop DMSN 2004, Toronto, Canada (2004)
Guttman, A.: R-trees: a dynamic index structure for spatial searching. In: Proceedings of SIGMOD 1984, Boston, Massachusetts (1984)
Saltenis, S., Jensen, C., Leutenegger, S., Lopez, M.: Indexing the positions of continuously moving objects. In: Proceedings of the ACM SIGMOD 2001, Santa Barbara, CA, USA (2001)
Tao, Y., Papadias, D., Shen, A.: Continuous nearest neighbor search. In: Bressan, S., Chaudhri, A.B., Li Lee, M., Yu, J.X., Lacroix, Z. (eds.) CAiSE 2002 and VLDB 2002. LNCS, vol. 2590, Springer, Heidelberg (2003)
Wellenhof, B.H., Lichtenegger, H., Collins, J.: Gps theory and practice, 2nd edn. Springer, New York
Niculescu, D., Nathi, B.: Ad hoc positioning system. In: Proceedings of INFOCOM 2003, San Francisco, CA (2003)
Li, D., Wong, K., Hu, Y., Sayeed, A.: Detection, classification and tracking of targets in distributed sensor networks. IEEE Signal Processing Magazine 19 (2002)
Xu, J., Tang, X., Lee, W.-C.: Ease: An energy-efficient in-network storage scheme for object tracking in sensor networks. In: Proceedings of IEEE SECON 2005, Santa Clara, CA, USA (2005)
Xu, Y., Winter, J., Lee, W.-C.: Prediction-based strategies for energy saving in object tracking sensor networks. In: Proceedings of IEEE MDM 2004, Berkeley, CA, USA (2004)
Karp, B., Kung, H.: GPSR: Greey perimeter stateless routing for wireless networks. In: Proceedings of the 6th Annual ACM/IEEE Mobicom 2000, Boston, MA, USA (2000)
Weisstein, E.: Hypercube line picking. MathWorld, http://mathworld.wolfram.com/HypercubeLinePicking.html
Buragohain, C., Agrawal, D., Suri, S.: Power aware routing for sensor databases. In: Proceedings of IEEE INFOCOM 2005 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yao, Y., Tang, X., Lim, EP. (2006). In-Network Processing of Nearest Neighbor Queries for Wireless Sensor Networks. In: Li Lee, M., Tan, KL., Wuwongse, V. (eds) Database Systems for Advanced Applications. DASFAA 2006. Lecture Notes in Computer Science, vol 3882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11733836_5
Download citation
DOI: https://doi.org/10.1007/11733836_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33337-1
Online ISBN: 978-3-540-33338-8
eBook Packages: Computer ScienceComputer Science (R0)