Mobility Aware Network Selection in a Heterogeneous Wireless Environment
| Autor: | Fayssal Bendaoud, Marwen Abdennebi, Fedoua Didi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
call session
Thesaurus (information retrieval) business.industry Computer science General Engineering 020206 networking & telecommunications qos 02 engineering and technology K4011-4343 Transportation and communication Computer Science Applications World Wide Web paths prediction 0202 electrical engineering electronic engineering information engineering network selection Wireless 020201 artificial intelligence & image processing markov model vertical handover business Selection (genetic algorithm) radio access technologies |
| Zdroj: | Transport and Telecommunication, Vol 21, Iss 1, Pp 32-46 (2020) |
| ISSN: | 1407-6179 |
| Popis: | Different Radio Access Technologies (RATs) coexist in the same area has encouraged the researchers to get profit from the available networks by selecting of the best RAT at each moment of the call session to satisfy the user requirements. In this paper, we address a real-world problem which is the frequent mobility of the users in heterogeneous networks. We present in this paper a framework that allows users to select the best networks for the whole call session especially form a mobility perspective. The framework consists of several steps, starting by the path prediction which is performed using a Markov model order 2. The second step is to make the network selection on the zones of each predicted path, while in the third step; we get the best RAT’s configuration for each predicted path. Finally, we use another function to select one of the best configurations to be used for all the possible used paths. The results show that our proposal performs very well by eliminating the unnecessary vertical handover while maintaining a good Quality of Service (QoS). |
| Databáze: | OpenAIRE |
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