JOURNAL ARTICLE

Vertical Handover Decision Algorithm Using Ants' Colonies for 4G Heterogeneous Wireless Networks

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 (ACOR), 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%.

Keywords:
Handover Vertical handover Wireless network Ant colony optimization algorithms Quality of service Wireless Power (physics) Quality (philosophy) Mobile telephony

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Topics

IPv6, Mobility, Handover, Networks, Security
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Networks and Protocols
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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