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Extending the Lifetime of Sensor Networks Using Prediction and Scheduling
Author(s)
Date Issued
2008-12-18
Date Available
2015-09-25T09:06:48Z
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
Language
English
Status of Item
Peer reviewed
Conference Details
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
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Extending_the_Lifetime_of_Sensor_Networks_Using_Prediction_and_Scheduling.pdf
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260.37 KB
Format
Adobe PDF
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