NDLI: Power-aware data reduction for continuous query in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Jun-Zhao Sun Jiehan Zhou
Copyright Year	2008
Description	Author affiliation: Acad. of Finland, Univ. of Oulu, Oulu (Jun-Zhao Sun)
Abstract	In sensor networks, continuous query is commonly used for collecting periodical data from the objects under monitoring. This query need to be carefully designed, in order to minimize the power consumption and maximize the lifetime. Data reduction techniques can be employed to decrease the size of data to be transferred in the network, and therefore save energy of sensor nodes. This paper presents a novel method for optimizing continuous query in sensor networks. Our approach is, by using packet merging or compression techniques, to reduce the data size to the best extent, so that the total performance is optimal. A weight item is specified together with a query, in which the importance of the two factors, power and delay can be expressed. Then an optimal query plan can be obtained by studying both power and time cost simultaneously, leading to the minimum cost. System models for energy and time consumptions of communication are created. Problem is formalized and algorithm is described in detail. Finally, experiments are conducted to validate the effectiveness of the proposed method.
Starting Page	1
Ending Page	6
File Size	138126
Page Count	6
File Format	PDF
ISBN	9781424417056
DOI	10.1109/ICIT.2008.4608446
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Delay Merging Power demand Data processing Query processing Delay effects Data compression
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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