Sampling based algorithms for quantile computation in sensor networks

Proceedings of the ACM SIGMOD International Conference on Management of Data

Volumn , Issue , 2011, Pages 745-756

  Huang, Zengfeng ^a   Wang, Lu ^a   Yi, Ke ^a   Liu, Yunhao ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

quantiles; sensor networks

Indexed keywords

APPROXIMATION ALGORITHMS; TREES (MATHEMATICS);

APPROXIMATION ERRORS; COMMUNICATION COST; COMPUTATION ALGORITHM; DATA SET; LARGE SCALE SENSOR NETWORK; NETWORK COMMUNICATIONS; QUANTILE; SAMPLING-BASED; SAMPLING-BASED ALGORITHMS; SENSORS NETWORK;

SENSOR NETWORKS;

EID: 79959970428     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1989323.1989401     Document Type: Conference Paper

References (28)

1. http://cast.cse.ohio-state.edu/exscal/.
2. http://www.greenorbs.org/.
3. http://www.ncfloodmaps.com.
4. J. Considine, F. Li, G. Kollios, and J. Byers. Approximate aggregation techniques for sensor databases. In Proc. IEEE International Conference on Data Engineering, 2004.
5. G. Cormode, M. Garofalakis, S. Muthukrishnan, and R. Rastogi. Holistic aggregates in a networked world: Distributed tracking of approximate quantiles. In Proc. ACM SIGMOD International Conference on Management of Data, 2005.
6. G. Cormode and M. Hadjieleftheriou. Finding frequent items in data streams. Proceedings of the VLDB Endowment, 1(2):1530-1541, 2008.
7. G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava. Space- and time-efficient deterministic algorithms for biased quantiles over data streams. In Proc. ACM Symposium on Principles of Database Systems, 2006.
8. G. Cormode and S. Muthukrishnan. An improved data stream summary: The count-min sketch and its applications. Journal of Algorithms, 55(1):58-75, 2005. (Pubitemid 40357145)
9. E. Fasolo, M. Rossi, J. Widmer, and M. Zorzi. In-network aggregation techniques for wireless sensor networks: a survey. IEEE Wireless Communications, 14(2):70-87, 2007. (Pubitemid 46776305)
10. A. C. Gilbert, Y. Kotidis, S. Muthukrishnan, and M. J. Strauss. How to summarize the universe: Dynamic maintenance of quantiles. In Proc. International Conference on Very Large Data Bases, 2002.
11. M. Greenwald and S. Khanna. Space-efficient online computation of quantile summaries. In Proc. ACM SIGMOD International Conference on Management of Data, pages 58-66, 2001.
12. M. Greenwald and S. Khanna. Power conserving computation of order-statistics over sensor networks. In Proc. ACM Symposium on Principles of Database Systems, 2004.
13. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4):660-670, 2002. (Pubitemid 44934253)
14. S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. TAG: a tiny aggregation service for ad-hoc sensor networks. In Proc. Symposium on Operating Systems Design and Implementation, 2002.
15. A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson. Wireless sensor networks for habitat monitoring. In ACM WSNA, 2002.
16. A. Manjhi, S. Nath, and P. B. Gibbons. Tributaries and deltas: efficient and robust aggregation in sensor network streams. In Proc. ACM SIGMOD International Conference on Management of Data, 2005.
17. L. Mo, Y. He, Y. Liu, J. Zhao, S. Tang, X.-Y. Li, and G. Dai. Canopy closure estimates with GreenOrbs: Sustainable sensing in the forest. In Proc. ACM SenSys, 2009.
18. J. I. Munro and M. S. Paterson. Selection and sorting with limited storage. Theoretical Computer Science, 12:315-323, 1980.
19. S. Nath, P. B. Gibbons, S. Seshan, and Z. R. Anderson. Synopsis diffusion for robust aggregation in sensor networks. In Proc. ACM SenSys, 2004.
20. J. Polastre, R. Szewczyk, and D. Culler. Telos: Enabling ultra-low power wireless research. In ACM/IEEE IPSN, 2005.
21. N. Shrivastava, C. Buragohain, D. Agrawal, and S. Suri. Medians and beyond: New aggregation techniques for sensor networks. In Proc. ACM SenSys, 2004.
22. A. Silberstein, K. Munagala, and J. Yang. Energy-efficient monitoring of extreme values in sensor networks. In Proc. ACM SIGMOD International Conference on Management of Data, 2006.
23. V. N. Vapnik and A. Y. Chervonenkis. On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications, 16:264-280, 1971.
24. J. Yang, K. Munagala, and A. Silberstein. Data aggregation in sensor networks. In Encyclopedia of Database Systems. 2009.
25. Y. Yao and J. Gehrke. Query processing in sensor networks. In Proc. Conference on Innovative Data Systems Research, 2003.
26. K. Yi and Q. Zhang. Optimal tracking of distributed heavy hitters and quantiles. In Proc. ACM Symposium on Principles of Database Systems, 2009.
27. P. Zhang, C. M. Sadler, S. A. Lyon, and M. Martonosi. Hardware design experiences in ZebraNet. In Proc. ACM SenSys, 2004.
28. Y. Zhang, X. Lin, J. Xu, F. Korn, and W. Wang. Space-efficient relative error order sketch over data streams. In Proc. IEEE International Conference on Data Engineering, 2006.