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

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This work is licensed under a 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

Collections

Department of Computer Engineering, Conference / Seminar