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

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

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...

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Bibliographic Details
Main Authors: Wenyu Zhang, Zhenjiang Zhang
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Sensors
Subjects:
decision fusion
distributed classification fusion
belief function
evidence theory
wireless sensor networks
Online Access:http://www.mdpi.com/1424-8220/15/8/20524

Internet

http://www.mdpi.com/1424-8220/15/8/20524

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