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An Efficient Fuzzy Fusion-Based Framework for Surveillance Applications in Wireless Multimedia Sensor Networks
Date
2014-08-08
Author
Sert, Seyyit Alper
Yazıcı, Adnan
Coşar, Ahmet
Yilmazer, Cengiz
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This study is focused on a new approach for addressing the trade-off between accuracy and energy-efficiency of Wireless Multimedia Sensor Networks. Although a number of previous studies have focused on various special topics in Wireless Multimedia Sensor Networks in detail, to best of our knowledge, none presents a fuzzy multi-modal data fusion system, which is light-weight and provides a high accuracy ratio. Especially, multi-modal data fusion targeting surveillance applications make it inevitable to work within a multi-level hierarchical framework. In this study, we primarily focus on accuracy and efficiency by utilizing such a framework. In order to evaluate the performance of the proposed framework, a set of experiments is conducted and obtained results are presented.
Subject Keywords
Wireless multimedia sensor networks
,
Fuzzy clustering and classification
,
Hierarchical data fusion
,
Surveillance applications
,
Actuator networks
URI
https://hdl.handle.net/11511/55932
Conference Name
10th International Wireless Communications & Mobile Computing Conference (IWCMC)
Collections
Department of Computer Engineering, Conference / Seminar
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S. A. Sert, A. Yazıcı, A. Coşar, and C. Yilmazer, “An Efficient Fuzzy Fusion-Based Framework for Surveillance Applications in Wireless Multimedia Sensor Networks,” presented at the 10th International Wireless Communications & Mobile Computing Conference (IWCMC), Nicosia, CYPRUS, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55932.