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Robust computation of aggregates in ...
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Purdue University., Electrical and Computer Engineering.
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Robust computation of aggregates in wireless sensor networks: Distributed randomized algorithms and analyses.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Robust computation of aggregates in wireless sensor networks: Distributed randomized algorithms and analyses./
Author:
Chen, Jen-Yeu.
Description:
147 p.
Notes:
Advisers: Jianghai Hu; Gopal Pandurangan.
Contained By:
Dissertation Abstracts International69-04B.
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3307453
ISBN:
9780549563549
Robust computation of aggregates in wireless sensor networks: Distributed randomized algorithms and analyses.
Chen, Jen-Yeu.
Robust computation of aggregates in wireless sensor networks: Distributed randomized algorithms and analyses.
- 147 p.
Advisers: Jianghai Hu; Gopal Pandurangan.
Thesis (Ph.D.)--Purdue University, 2007.
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in a hostile environment that is prone to link and node failures. Consequently, the algorithms developed on a sensor network have to be prudent on energy cost, scalable to network size, and robust to frequent topology changes. Among the operations on a sensor network, computing aggregates such as average, minimum, maximum and sum over the data stored in the sensor nodes is not only an important application in itself but also fundamental to various other functions such as system monitoring, data querying, and collaborative information processing. In this work, we present a class of distributed randomized algorithms to efficiently compute aggregates in a sensor network. The proposed algorithms are energy-efficient, scalable, and robust to frequent topology changes. Our analyses and experimental results show that they outperform other representative distributed algorithms for the aggregates computation in wireless sensor networks.
ISBN: 9780549563549Subjects--Topical Terms:
626642
Computer Science.
Robust computation of aggregates in wireless sensor networks: Distributed randomized algorithms and analyses.
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Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2511.
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Thesis (Ph.D.)--Purdue University, 2007.
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A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in a hostile environment that is prone to link and node failures. Consequently, the algorithms developed on a sensor network have to be prudent on energy cost, scalable to network size, and robust to frequent topology changes. Among the operations on a sensor network, computing aggregates such as average, minimum, maximum and sum over the data stored in the sensor nodes is not only an important application in itself but also fundamental to various other functions such as system monitoring, data querying, and collaborative information processing. In this work, we present a class of distributed randomized algorithms to efficiently compute aggregates in a sensor network. The proposed algorithms are energy-efficient, scalable, and robust to frequent topology changes. Our analyses and experimental results show that they outperform other representative distributed algorithms for the aggregates computation in wireless sensor networks.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3307453
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