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Extending the Lifetime of Sensor Networks Using Prediction and Scheduling

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Author(s)
Lim, Jong Chern 
Bleakley, Chris J. 
Uri
http://hdl.handle.net/10197/7103
Date Issued
18 December 2008
Date Available
25T09:06:48Z September 2015
Abstract
Power consumption in wireless sensor networks (WSNs) is a very important issue. Using measured sensor network data, this paper shows that it is possible to conserve a significant amount of energy through the proper use of data prediction and node scheduling without a significant loss in accuracy. Results show that it is possible to increase lifetime by up to 2600% at the cost of increasing average error by 0.5degC for temperature or 1.5% for humidity measurements. The four main design issues tackled are clustering, prediction, scheduling, and spike errors.
Sponsorship
Enterprise Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2008 IEEE
Keywords
  • Wireless sensor netwo...

  • Gaussian predictor

  • Scheduling

  • Entropy

DOI
10.1109/ISSNIP.2008.4762049
Language
English
Status of Item
Peer reviewed
Description
International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Syndey, Australia, 15 - 18 December, 2008
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
6
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Feb 4, 2023
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