Vertical handover decision algorithm using ants' colonies for 4G heterogeneous wireless networks

TitreVertical handover decision algorithm using ants' colonies for 4G heterogeneous wireless networks
Publication TypeJournal Article
Year of Publication2016
AuthorsFachtali, IaEl, Saadane, Rb, Elkoutbi, Ma
JournalJournal of Computer Networks and Communications
Volume2016
Abstract

With the development of 4G mobile telecommunication systems, providing users with the convenience of a seamless continuous connection is not enough anymore. Users want to be connected through the best available network with the best quality of service. It is necessary to have a good decision-making algorithm which decides whether it is necessary to perform handoff to another network, the best network to vertically perform handoff to, and the right time to initiate the handover. This paper proposes a new approach in which mobile terminals (MTs) continuously analyze the network and keep a database of the best available networks. The concept is based on QoS aware ant colony built on the vertical handoff mechanism that uses an updated version of ants' colony optimization decision algorithm (A C O R), the dynamic and static factors such as RSS, the cost of service, bandwidth, the velocity of MT, the power consumption and security, and the module for predicting the traveling distance within an IEEE 802.11 WLAN cell. Simulation results show that we can not only meet the individual needs of users in terms of QoS, but also improve the whole system performance by reducing the number of handover failures and unnecessary handover instances by up to 95%. © 2016 Imad El Fachtali et al.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84961880430&doi=10.1155%2f2016%2f6259802&partnerID=40&md5=76d5e50d1d0c97071ba232ad71f47e0e
DOI10.1155/2016/6259802
Revues: 

Partenaires

Localisation


Location map

Suivez-nous sur

  

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

Résultat de recherche d'images pour "icone fax" Télécopie : (+212) 5 37 77 72 30

    Compteur de visiteurs:280,163
    Education - This is a contributing Drupal Theme
    Design by WeebPal.