Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks

Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks

Decision fusion is used to fuse classification results and improve the classification accuracy in order to reduce the consumption of energy and bandwidth demand for data transmission. The decentralized classification fusion problem was the reason to use the belief function-based decision fusion appr...

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Bibliographic Details
Main Authors: Atia Javaid, Nadeem Javaid, Zahid Wadud, Tanzila Saba, Osama E. Sheta, Muhammad Qaiser Saleem, Mohammad Eid Alzahrani
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
Wireless Sensor Networks
machine learning classifiers
KNN
ELM
SVM
RELM
belief function
Online Access:http://www.mdpi.com/1424-8220/19/6/1334

Internet

http://www.mdpi.com/1424-8220/19/6/1334

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