Abstract
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new database abstraction for sensor networks: Clients “program” the sensors through queries in a high-level declarative language permitting the system to perform the low-level optimizations necessary for energy-efficient query processing. In this paper we consider multi-query optimization for aggregate queries on sensor networks. We develop a set of distributed algorithms for processing multiple queries that incur minimum communication while observing the computational limitations of the sensor nodes. Our algorithms support incremental changes to the set of active queries and allow for local repairs to routes in response to node failures. A thorough experimental analysis shows that our approach results in significant energy savings, compared to previous work.
This work was partially supported by NSF grants CCR-9983901 and IIS-0330201.
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
Hellerstein, J., Hong, W., Madden, S., Stanek, K.: Beyond average: Towards sophisticated sensing with queries. In: IPSN (2003)
Madden, S., Franklin, M.: Fjording the stream: An architecture for queries over streaming sensor data. In: ICDE (2002)
Madden, S., Franklin, M., Hellerstein, J., Hong, W.: Tag: A tiny aggregation service for ad-hoc sensor networks. In: OSDI (2002)
Madden, S., Hellerstein, J.: Distributing queries over low-power wireless sensor networks. In: SIGMOD (2002)
Madden, S., Szewczyk, R., Franklin, M., Culler, D.: Supporting aggregate queries over ad-hoc sensor networks. In: WMCSA (2002)
Yao, Y., Gehrke, J.: The Cougar approach to in-network query processing in sensor networks. Sigmod Record 31 (2002)
Yao, Y., Gehrke, J.: Query processing in sensor networks. In: CIDR (2003)
Trigoni, N., Yao, Y., Demers, A., Gehrke, J., Rajaraman, R.: Multi-query optimization for sensor networks. In: TR2005-1989. Cornell Univ. (2005)
Madden, S., Franklin, M., Hellerstein, J., Hong, W.: The design of an acquisitional query processor for sensor networks. In: SIGMOD (2003)
Heidemann, J., Silva, F., Intanagonwiwat, C., Govindan, R., Estrin, D., Ganesan, D.: Building efficient wireless sensor networks with low-level naming. In: SOSP, pp. 146–159 (2001)
Heidemann, J., Silva, F., Yu, Y., Estrin, D., Haldar, P.: Diffusion filters as a flexible architecture for event notification in wireless sensor networks. In: ISI-TR-556, USC/ISI (2002)
Ye, F., Luo, H., Cheng, J., Lu, S., Zhang, L.: A two-tier data dissemination model for large-scale wireless sensor networks. In: MOBICOM (2002)
Goel, A., Estrin, D.: Simultaneous optimization for concave costs: Single sink aggregation or single source buy-at-bulk. In: SODA (2003)
Considine, J., Li, F., Kollios, G., Byers, J.: Approximate aggregation techniques for sensor databases. In: ICDE (2004)
Nath, S., Gibbons, P.: Synopsis diffusion for robust aggregation in sensor networks. In: SENSYS (2004)
Heinzelman, W., Wendi, R., Kulik, J., Balakrishnan, H.: Adaptive protocols for information dissemination in wireless sensor networks. In: MOBICOM (1999)
Johnson, D., Maltz, D.: Dynamic source routing in ad hoc wireless networks. In: Mobile Computing. The Kluwer International Series in Engineering and Computer Science, vol. 353 (1996)
Perkins, C.: Ad hoc on demand distance vector (aodv) routing Internet Draft (1999), http://www.ietf.org/internet-drafts/draft-ietf-manet-aodv-04.txt
Perkins, C., Bhagwat, P.: Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. In: SIGCOMM, pp. 234–244 (1994)
Xu, Y., Bien, S., Mori, Y., Heidemann, J., Estrin, D.: Topology control protocols to conserve energy inwireless ad hoc networks. TR6, UCLA/CENS (2003)
Xu, Y., Heidemann, J., Estrin, D.: Geography-informed energy conservation for ad hoc routing. In: MOBICOM, pp. 70–84 (2001)
Ye, W., Heidemann, J., Estrin, D.: An energy-efficient MAC protocol for wireless sensor networks. In: INFOCOM, pp. 1567–1576 (2002)
Ye, W., Heidemann, J., Estrin, D.: Medium access control with coordinated, adaptive sleeping for wireless sensor networks. ISI-TR-567, USC/ISI (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Trigoni, N., Yao, Y., Demers, A., Gehrke, J., Rajaraman, R. (2005). Multi-query Optimization for Sensor Networks. In: Prasanna, V.K., Iyengar, S.S., Spirakis, P.G., Welsh, M. (eds) Distributed Computing in Sensor Systems. DCOSS 2005. Lecture Notes in Computer Science, vol 3560. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11502593_24
Download citation
DOI: https://doi.org/10.1007/11502593_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26422-4
Online ISBN: 978-3-540-31671-8
eBook Packages: Computer ScienceComputer Science (R0)