Range-Free Localization Using Extreme Learning Machine and Ring-Shaped Salp Swarm Algorithm in Anisotropic Networks-Reference-Cited by-同舟云学术

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Range-Free Localization Using Extreme Learning Machine and Ring-Shaped Salp Swarm Algorithm in Anisotropic Networks

Published:2023-05-01 Issue:9 Volume:10 Page:8228-8244
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tu Qiang¹^ORCID,Liu Xingcheng¹^ORCID,Xie Yi²^ORCID,Han Guangjie³^ORCID

Affiliation:

1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China

2. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

3. Department of Internet of Things Engineering, Hohai University, Changzhou, China

Funder

Key Project of the NSFC-Guangdong Province Joint Program, China

National Natural Science Foundation of China

Science and Technology Program of Guangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10106528/09996088.pdf?arnumber=9996088

Reference56 articles.

1. Genetic Algorithms

2. Localization Algorithm for Large Scale Wireless Sensor Networks Based on Fast-SVM

3. On the kernel Extreme Learning Machine classifier

4. Particle swarm optimization

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