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Data Fusion in Wireless Sensor Networks using Fuzzy Set Theory

Authors:
Ali Berrached
Andre de Korvin

Keywords: wireless sensor networks; data fusion; data aggregation.

Abstract:
Wireless Sensor Networks (WSNs) are collections of sensor nodes deployed in a geographical area with the purpose of monitoring the environment in which they are deployed and detect events of interest. Sensor nodes are tiny devices with limited battery power and communication range. Data fusion is the process of combining raw data from the various sensor nodes to obtain information of greater quality and make accurate decisions about the events of interest. Given that energy is the main constrain in WSNs, data fusion can also be used to reduce the volume of data transmitted over the network, thereby extending the network’s lifetime. In this paper, we propose a data fusion framework that uses fuzzy set theory to aggregate data from multiple sensors at the cluster level. The algorithm is capable of handling the inherent inaccuracy and conflicts in environmental data readings.

Pages: 108 to 112

Copyright: Copyright (c) IARIA, 2013

Publication date: August 25, 2013

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-296-7

Location: Barcelona, Spain

Dates: from August 25, 2013 to August 31, 2013