Profiling Spatial and Temporal Behaviour in Sensor Networks: a Case Study in Energy Monitoring

Rashidi, L., Rajasegarar, S., Leckie, C., Nati, M., Gluhak, A., Imran, M. A. and Palaniswami, M. (2014) Profiling Spatial and Temporal Behaviour in Sensor Networks: a Case Study in Energy Monitoring. In: 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, 21-24 Apr 2014, ISBN 9781479928439 (doi:10.1109/ISSNIP.2014.6827606)

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Abstract

Wireless sensor networks (WSNs) provide a cost-effective platform for monitoring phenomena of interest at fine spatial and temporal resolutions. In this paper, we consider the application of monitoring power usage in an office environment at the resolution of individual users. A key challenge in this context is how to extract meaningful profiles of user behaviour in the large volume of monitoring data collected by the WSN. To manage the complexity of learning such profiles in this context, we propose a query based model for profiling. This query based model provides the ability to characterize the spatial and temporal occurrences of the power usage patterns of interest. We demonstrate the effectiveness of our query-based profiling model for finding relevant electricity usage patterns in a real life data set of power measurements collected by a WSN deployment in an office environment. To the best of our knowledge, this is the first time such a case study has been made on analysing the power usage of users at such a fine scale in an office environment.

Item Type:Conference Proceedings
Additional Information:The authors thank the support from the NICTA; the REDUCE project grant (EP/I000232/1) under the Digital Economy Programme run by Research Councils UK - a cross council initiative led by EPSRC and contributed to by AHRC, ESRC and MRC; the EU FP7 SocIoTal grant and the Australian Research Council grants LP120100529 and LE120100129.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Rashidi, L., Rajasegarar, S., Leckie, C., Nati, M., Gluhak, A., Imran, M. A., and Palaniswami, M.
College/School:College of Science and Engineering > School of Engineering
ISBN:9781479928439
Published Online:09 June 2014
Copyright Holders:Copyright © 2014 IEEE
First Published:First published in 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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