A Novel Data Fusion Strategy Based on Extreme Learning Machine Optimized by Bat Algorithm for Mobile Heterogeneous Wireless Sensor Networks

A Novel Data Fusion Strategy Based on Extreme Learning Machine Optimized by Bat Algorithm for Mobile Heterogeneous Wireless Sensor Networks

In order to effectively reduce the redundant information transmission in the network, a data fusion algorithm based on extreme learning machine optimized by bat algorithm for mobile heterogeneous wireless sensor networks is proposed. In this paper, the data fusion process of mobile heterogeneous wir...

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Bibliographic Details
Main Authors: Li Cao, Yong Cai, Yinggao Yue, Shaotang Cai, Bo Hang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Mobile heterogeneous wireless sensor networks
data fusion
extreme learning machine
bat algorithm
energy efficient
reliability
Online Access:https://ieeexplore.ieee.org/document/8962064/

Internet

https://ieeexplore.ieee.org/document/8962064/

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