Particle Swarm Optimization-Based Neural Network for Wireless Heterogeneous Networks

被引：2

作者：

Chirayil, Divya Y. ^{[1
]}

机构：

[1] Pillai HOC Coll Engn & Technol, Rasayani, India

来源：

COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING ( ICCVBIC 2021) | 2022年 / 1420卷

关键词：

PSO; Handover; RSS; Neural network; Heterogeneous; Wireless network;

D O I：

10.1007/978-981-16-9573-5_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The heterogeneous wireless network aims to maintain improved mobility and communication among the wide area network always. Therefore, VHO is very much required. This proposed work introduces vertical VHO that is context-aware in heterogeneous sector. Better handover is generated from an enhanced determination of handover points. Particle swarm optimization neural network is proposed for better handover points and improving receiver signal strength in wireless network.

引用

页码：173 / 180

页数：8

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