Data Fusion Algorithms in Cluster-basedWireless Sensor Networks Using Fuzzy Logic Theory

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Authors
Su, Weilian
Bougiouklis, Theodoros C.
Subjects
Data fusion
redundancy
fuzzy logic
aggregation
throughput
Advisors
Date of Issue
2007-07
Date
July 26-28, 2007
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Abstract
Data Fusion in wireless sensor networks (WSNs) can improve the performance of a network by eliminating redundancy and power consumption, ensuring fault-tolerance between sensors, and managing effectively the available communication bandwidth between network components. In this paper, we develop a data fusion algorithm that combines the cluster-based design of WSNs using fuzzy logic methods. Our results show that the algorithm eliminates redundant sensor reports.
Type
Conference Proceedings
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https://hdl.handle.net/10945/40412
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Department
Electrical and Computer Engineering
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Citation
Proceedings of the 11th WSEAS International Conference on COMMUNICATIONS, Agios Nikolaos, Crete Island, Greece, July 26-28, 2007
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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