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Better tree - better fruits: using dominating set trees for MAX queries

Published:24 August 2008Publication History

ABSTRACT

Finding an aggregation of observed values, in particular the maximum value, is an important type of query in wireless sensor networks. Previous proposals to find the maximum value, the so-called MAX query, relied on a given underlying logical tree topology for data aggregation/forwarding, but did not pay due attention to the role of such topology. Focusing on the MAX queries we first argue that the underlying tree topology plays a very important role in the query processing cost. We then propose the use of a particular tree topology, based on Dominating Sets that is well suited to explore the network's physical topology for processing MAX queries efficiently. Experimental results obtained using real and synthetic datasets confirm that by simply replacing the tree topologies used in previous proposals with the Dominating Set-based Tree (DST) one can reduce the transmission cost of MAX queries by up to 70% and overall energy consumption by up to 53%.

References

  1. http://db.csail.mit.edu/labdata/labdata.html.Google ScholarGoogle Scholar
  2. B. Babcock and C. Olston. Distributed top-k monitoring. Proc. of the ACM SIGMOD'03, pages 28--39, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Blum, et. al. Connected dominating set in sensor networks and manets. D.-Z. Du, P. Pardalos (Eds.), Handbook of Combinatorial Optimization, pages 329--369, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  4. J. J. Garcia-Luna-Aceves and E. L. Madruga. The core assisted mesh protocol. IEEE Journal on Selected Areas in Communications, 17(8):1380--1394, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. C. R. Lin and M. Gerla. Adaptive clustering for mobile wireless networks. IEEE Journal on Selected Areas in Communications, 15(7):1265--1275, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. Madden, et. al. TAG: A tiny aggregation service for ad-hoc sensor networks. Proc. of the OSDI'02, 36:131--146, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Silberstein, et. al. A sampling-based approach to optimizing top-k queries in sensor networks. Proc. of the IEEE ICDE'06, pages 68--78, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Silberstein, R. Braynard, and J. Yang. Constraint-chaining: On energy-efficient continuous monitoring in sensor networks. Proc. of the ACM SIGMOD'06, pages 157--168, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A. Silberstein, K. Munagala, and J. Yang. Energy-efficient monitoring of extreme values in sensor networks. Proc. of the ACM SIGMOD'06, pages 169--180, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. P. J. Wan, K. M. Alzoubi, and O. Frieder. Distributed construction of connected dominating set in wireless ad hoc networks. Discrete algorithms and methods for mobile computing and communications, 9(2):141--149, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. Wu, et. al. Top-k monitoring in wireless sensor networks. IEEE Trans. on Knowledge and Data Engineering, 19(7):962--976, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. D. Zeinalipour-Yazti, et. al. The threshold join algorithm for top-k queries in distributed sensor networks. Proc. of the VLDB workshop DMSN'05, pages 61--66, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Y. Zhao, L. Xu, and M. Shi. On-demand multicast routing protocol with multipoint relay (ODMRP-MPR) in mobile ad-hoc network. Proc. of the ICCT'03, 2(2):1295--1300, 2003.Google ScholarGoogle ScholarCross RefCross Ref

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                  cover image ACM Other conferences
                  DMSN '08: Proceedings of the 5th workshop on Data management for sensor networks
                  August 2008
                  63 pages
                  ISBN:9781605582849
                  DOI:10.1145/1402050

                  Copyright © 2008 ACM

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                  New York, NY, United States

                  Publication History

                  • Published: 24 August 2008

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