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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2014

01.08.2014

A Network Selection Algorithm Based on Enhanced Access Router Discovery in Heterogeneous Wireless Networks

verfasst von: Radhwan M. Abdullah, Azizol Abdullah, Nor Asilah Wati Abdul Hamid, Mohamed Othman, Shamala Subramaniam

Erschienen in: Wireless Personal Communications | Ausgabe 3/2014

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Abstract

The management process between different wireless technologies for mobile devices is very important to complete the handover operations. The handover operation needs to determine the delay and packet loss in order to be the quality of service within a certain level. Selecting the best available network at the appropriate time is very significant in the direction of realizing ubiquitous networks. In this paper a network selection approach named enhanced access router discovery (EARD) is proposed. The approach is developed to work in a heterogeneous environment including of WiMAX and WLAN networks. The EARD method utilizes the prioritized rating for multiple criteria (PRMC) proposed for selecting the target network. The proposed approach is evaluated with respect to various conditions with different traffic types. The simulation results show that our proposed approach outperform the traditional network selection methods is selecting the most appropriate network.
Vorheriger Artikel Privacy and Authentication Protocol for Mobile RFID Systems
Nächster Artikel Performance Analysis of Amplify-and-Forward Relay Systems with Interference-Limited Destination in Various Rician Fading Channels

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Metadaten
Titel
A Network Selection Algorithm Based on Enhanced Access Router Discovery in Heterogeneous Wireless Networks
verfasst von
Radhwan M. Abdullah
Azizol Abdullah
Nor Asilah Wati Abdul Hamid
Mohamed Othman
Shamala Subramaniam
Publikationsdatum
01.08.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1606-5

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