Abstract
In this paper, a fully distributed spatial index tree (FDSI-tree) is proposed for efficient & power-aware range queries in sensor networks. The proposed technique is a new approach for range queries that uses spatial indexing. Range queries are most often encountered under sensor networks for computing aggregation values. However, previous works just addressed the importance but didn’t provide any efficient technique for processing range queries. A FDSI-tree is thus designed for efficiently processing them. Each node in the sensor network has the MBR of the region where its children nodes and the node itself are located. The range query is evaluated over the region which intersects the geographic location of sensors. It ensures the maximum power savings by avoiding the communication of nodes not participating over the evaluation of the query.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
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References
Hill, J., Culler, D.: Mica: A Wireless Platform for Deeply Embedded Networks. IEEE Micro. 22(6), 12–24 (2002)
Rappaport, T.: Wireless Communications: Principles and Practice. PH Inc. (1996)
Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. In: ACM MobiCom 2000 (2000)
Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: TAG: a Tiny AGgregation Service for Ad-Hoc Sensor Networks. OSDI (2002)
Shenker, S., Ratnasamy, S., Karp, B., Govindan, R., Estrin, D.: Data-Centric Storage in Sensornets. In: Proc. ACM SIGCOMM Workshop on Hot Topics In Networks, Princeton, NJ (2002)
Guttman, A.: R-Trees: A Dynamic Index Structure for Spatial Searching. In: Proc. ACMSIGMOD 1984, Annual Meeting, USA, pp. 47–57. ACM Press, New York (1984)
Coman, A., et al.: A Framework for Spatio Temporal Query Processing over Wireless Sensor Networks. In: Proc. DMSN Workshop (with VLDB), pp. 104–110 (2004)
Demirbas, M., Ferhatosmanoglu, H.: Peer-to-Peer Spatial Queries in Sensor Networks. In: Proc. International Conference on Peer-to-Peer Computing, pp. 32–39 (2003)
Comer, D.: The Ubiquitous B-tree. ACM Computing Surveys 11(2), 121–137 (1979)
Nath, S., Gibbons, P., Seshan, S.: Synopsis Diffusion for Robust Aggregation in Sensor Networks. In: Proc. ACM Symposium on Networked Embedded Systems (2004)
Yao, Y., Gehrke, J.: The Cougar Approach to In-Network Query Processing in Sensor Networks. In: SIGMOD 2002 (2002)
Madden, S., Franklin, M.J.: Fjording the Stream: An Architecture for Queries over Streaming Sensor Data. In: Proc.18th Int. Conference on Data Engineering, pp. 555–566 (2002)
Madden, S.R., Franklin, M.J., Hellerstein, J.M.: TinyDB: An Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems 30(1), 122–173 (2005)
Heidemann, J., Silva, F., Intanagonwiwat, C., Govindan, R., Estrin, D., Ganesan, D.: Building Efficient Wireless Sensor Networks with Low-Level Naming. In: SOSP (2001)
Karp, B., Kung, H.T.: GPRS: Greedy Perimeter Stateless Routing for Wireless Networks. In: Proc. Sixth Annual ACM/IEEE International Conference on Mobile Computing and Networking (Mobicom 2000), Boston, MA (August 2000)
Greenstein, B., Estrin, D., Govindan, R., Ratnasamy, S., Shenker, S.: DIFS: AÂ Distributed Index for Features in Sensor Networks. In: Proc. 1st IEEE International Workshop on Sensor Network Protocols and Applications, Anchorage, AK (2003)
Ganesan, D., Estrin, D., Heidemann, J.: DIMENSIONS: Why Do We Need a New Data Handling Architecture for Sensor Networks? In: Proc. First Workshop on Hot Topics In Networks (HotNes-I), Princeton, NJ (October 2002)
Manjhi, A., Nath, S., Gibbons, P.B.: Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams. In: SIGMOD 2005, USA (2005)
Titzer, B.L., Lee, D.K., Palsberg, J.: Avrora: Scalable Sensor Network Simulation with Precise Timing. In: Proceedings of IPSN (April 2005); A research project of the UCLA Compilers Group, http://compilers.cs.ucla.edu/avrora/index.html
Shih, E., et al.: Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks. In: ACM Mobicom 2001, pp. 272–286 (2001)
Sharaf, M.A., Beaver, J., Labrinidis, A., Chrysanthis, P.: TiNA: A Scheme for Temporal Coherency-Aware in-Network Aggregation. In: Proceedings of 2003 International Workshop in Mobile Data Engineering (2003)
Beaver, J., Sharaf, M.A., Labrinidis, A., Chrysanthis, P.K.: Power-Aware In-Network Query Processing for Sensor Data. In: Proc. 3rd ACM MobiDE Workshop (2003)
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Eo, S.H., Pandey, S., Kim, MK., Oh, YH., Bae, HY. (2006). FDSI-Tree: A Fully Distributed Spatial Index Tree for Efficient & Power-Aware Range Queries in Sensor Networks. In: Wiedermann, J., Tel, G., Pokorný, J., Bieliková, M., Štuller, J. (eds) SOFSEM 2006: Theory and Practice of Computer Science. SOFSEM 2006. Lecture Notes in Computer Science, vol 3831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11611257_23
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DOI: https://doi.org/10.1007/11611257_23
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