Vertical Handover Decision Algorithm Using Ants’ Colonies for 4G Heterogeneous Wireless NetworksReport as inadecuate

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Journal of Computer Networks and Communications - Volume 2016 2016, Article ID 6259802, 15 pages -

Research Article

SIME Lab, MIS Team, ENSIAS, Mohammed V University, BP 713, Rabat, Morocco

SIRC-LaGeS-EHTP, Km 7 Route El Jadida, Oasis, Morocco

Received 6 October 2015; Revised 15 January 2016; Accepted 27 January 2016

Academic Editor: Shlomi Arnon

Copyright © 2016 Imad El Fachtali et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 , 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%.

Author: Imad El Fachtali, Rachid Saadane, and Mohammed ElKoutbi



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