Belief Function Based Decision Fusion for Decentralized Target Classification in Wireless Sensor Networks - 源码 - 源码 - 免费下载

Belief Function Based Decision Fusion for Decentralized Target Classification in Wireless Sensor Networks

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资源说明：Decision fusion in sensor networks enables sensors to improve classification accuracy while reducing the energy consumption and bandwidth demand for data transmission. In this paper, we focus on the decentralized multi-class classification fusion problem in wireless sensor networks (WSNs) and a new simple but effective decision fusion rule based on belief function theory is proposed. Unlike existing belief function based decision fusion schemes, the proposed approach is compatible with any type

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