Extending the Lifetime of Sensor Networks Using Prediction and Scheduling

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Title: Extending the Lifetime of Sensor Networks Using Prediction and Scheduling
Authors: Lim, Jong Chern
Bleakley, Chris J.
Permanent link: http://hdl.handle.net/10197/7103
Date: 18-Dec-2008
Online since: 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.
Funding Details: Enterprise Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2008 IEEE
Keywords: Wireless sensor networksGaussian predictorSchedulingEntropy
DOI: 10.1109/ISSNIP.2008.4762049
Language: en
Status of Item: Peer reviewed
Conference Details: International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Syndey, Australia, 15 - 18 December, 2008
Appears in Collections:Computer Science Research Collection

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