Conference Proceedings


Chris J. Bleakley
Jong Chern Lim


Computer Science

sensor data entropy power consumption scheduling prediction wireless sensor networks wireless sensor networks wsns gaussian predictor

Extending the Lifetime of Sensor Networks Using Prediction and Scheduling (2008)

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.
Collections Ireland -> University College Dublin -> School of Computer Science
Ireland -> University College Dublin -> Computer Science Research Collection

Full list of authors on original publication

Chris J. Bleakley, Jong Chern Lim

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Chris Bleakley
University College Dublin
Total Publications: 105