Volume 4 Number 8 (Oct. 2009)
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JSW 2009 Vol.4(8): 899-906 ISSN: 1796-217X
doi: 10.4304//jsw.4.8.899-906

An Aggregation Tree Approach for Event Detection in Wireless Sensor Networks

ZHANG Shu-Kui1, 2, GONG Sheng-Rong1, CUI Zhi-Ming1, 2, LIU Quan1 ,FAN Jian-Xi1
1School of Computer Science and Technology, Soochow University, Suzhou, China, 215006
2Jiang Su Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise, Suzhou, China, 215104

Abstract—Collecting data with confidence of the environment is an important application of the wireless sensor networks (WSN). In this study, we used a splay tree based event region fault-tolerant detection algorithm (STERD) for WSNs to address these problems. Rather than passing large quantities of raw data through the network, our network instead sends the coefficients of a regression polynomial that simulates the readings of the sensor nodes throughout the region of interest. These coefficients essentially summarize the relevant information over the region, in effect compressing the data, leading to a reduction in both data volume and energy expenditure. Simulation results indicate that the proposed STERD can attractively obtain the high event region detection accuracy and considerably reduce the false alarm probability.

Index Terms—wireless sensor network, splay tree, in-network process, data aggregation, fault-tolerant detection .

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Cite: ZHANG Shu-Kui, GONG Sheng-Rong, CUI Zhi-Ming, LIU Quan, FAN Jian-Xi, "An Aggregation Tree Approach for Event Detection in Wireless Sensor Networks," Journal of Software vol. 4, no. 8, pp. 899-906, 2009.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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