Open AccessGenetic Algorithm for Vertical Handover (GAfVH)in a Heterogeneous networks
Author(s) -
iman Zubeiri,
Yasmina El Morabit,
Fatiha Mrabti
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i4.pp2534-2540
Subject(s) - rss , handover , computer science , signal strength , computer network , genetic algorithm , wireless network , vertical handover , key (lock) , simple (philosophy) , wireless , wimax , wireless broadband , algorithm , real time computing , heterogeneous network , wireless sensor network , telecommunications , machine learning , philosophy , computer security , epistemology , operating system
The fifth generation (5G) wireless system will deal with the growing demand of new multimedia and broadband application. The 5G network architecture is based on heterogeneous Radio Access Technologies (RATs). In such implementation the Vertical handover is a key issue. Up till now, systems are using simple mechanisms to make handover decision, based on the evaluation of the Received Signal Strength (RSS). In some cases these mechanisms are not Efficient.This paper presents a new vertical handover algorithm based on Genetic Algorithm (GAfVH). It aims to reduce the number of unnecessary handovers, and optimizes the system performance. We compare our simulation results to the Received Signal Strength (RSS) based method. The results show that the number of handovers decreases. Moreover, we demonstrate that the network selection result can differ from an application to another.