Complicated Event Query Processing Algorithms in Wireless Sensor Networks

Gui Lin Li; Xing Gao; Ming Hong Liao

doi:10.4028/www.scientific.net/AMR.482-484.206

Paper Titles

Microencapsulation of Jasmine Oil in β-Cyclodextrin
p.188

Mechanical Engineering in English Teaching
p.192

Biomimetic Universal Blade Test Analysis
p.196

Study and Design of Image Pre-Processing System Based on FPGA
p.200

Complicated Event Query Processing Algorithms in Wireless Sensor Networks
p.206

Flexible Photovoltaic Solar Cells Based on AZO Anode
p.210

Thermal Fatigue Analysis of the Engine Exhaust Manifold
p.214

Study on the Direction Identification and Alignment of Garlic Scaly Bud
p.220

Application of High Precision ADC in Seawater Total Organic Carbon Quick Measurement
p.224

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 482-484Complicated Event Query Processing Algorithms in...

Complicated Event Query Processing Algorithms in Wireless Sensor Networks

Abstract:

In this paper, we propose two bloom ﬁlter based algorithms to solve the complicated event query adopting the separate DCS scheme. By using bloom ﬁlter, the communication cost involved in the procedure of query processing can be reduced. Experimental results show that our bloom ﬁlter based complicated event query processing algorithms achieve signiﬁcant performance improvement in terms of energy consumption.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 482-484)

Pages:

206-209

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.482-484.206

Citation:

Cite this paper

Online since:

February 2012

Authors:

Gui Lin Li, Xing Gao, Ming Hong Liao

Keywords:

Complicated Event, Event Based Query, Query Processing, Sensor Network

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Information on http://www.xbow.com/

Google Scholar

[2] R. Ratnasamy, B. Karp, L. Yin etc. GHT: a Geographic Hash Table for Data Centric Storage. in Proceedings of WSNA, 2002.

DOI: 10.1145/570738.570750

Google Scholar

[3] H. H. Chan, M. Li, H. Jin etc. MDS: Efficient Multi-dimensional Query Processing in Data-centric WSNs. in Proceedings of RTSS, 2008.

DOI: 10.1109/rtss.2008.26

Google Scholar

[4] X. Li, Y. J. Kim, R. Govindan etc. Multi-dimensional Range Queries in Sensor Networks. in Proceedings of ACM SenSys, 2003.

Google Scholar

[5] X. Liu, Q. F. Huang and Y. Zhang. Comb, Needles, Haystacks: Balancing Push and Pull for Discovery in Large-scale Sensor Networks. in Proceedings of ACM SenSys, 2004.

DOI: 10.1145/1031495.1031510

Google Scholar

[6] R. Sarkar, X. Zhu and J. Gao. Double Rulings for Information Brokerage in Sensor Networks. in Proceedings of ACM MobiCom, 2006.

Google Scholar

[7] D. Guo, Y. Liu, X. Li and P. Yang. False Negative Problem of Counting Bloom Filter. IEEE/ACM TKDE, Vol. 22(5), pp.651-664, 2011.

DOI: 10.1109/tkde.2009.209

Google Scholar