Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings

Research Article

SDWN for End-to-End QoS Path Selection in a Wireless Network Ecosystem

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  • @INPROCEEDINGS{10.1007/978-3-319-92213-3_20,
        author={Eugeniu Semenciuc and Andra Pastrav and Tudor Palade and Emanuel Puschita},
        title={SDWN for End-to-End QoS Path Selection in a Wireless Network Ecosystem},
        proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. Third International Conference, FABULOUS 2017, Bucharest, Romania, October 12-14, 2017, Proceedings},
        proceedings_a={FABULOUS},
        year={2018},
        month={7},
        keywords={QoS routing End-to-end QoS path Wireless network ecosystem Bayesian reasoning Fuzzy logic},
        doi={10.1007/978-3-319-92213-3_20}
    }
    
  • Eugeniu Semenciuc
    Andra Pastrav
    Tudor Palade
    Emanuel Puschita
    Year: 2018
    SDWN for End-to-End QoS Path Selection in a Wireless Network Ecosystem
    FABULOUS
    Springer
    DOI: 10.1007/978-3-319-92213-3_20
Eugeniu Semenciuc1,*, Andra Pastrav1,*, Tudor Palade1,*, Emanuel Puschita1,*
  • 1: Technical University of Cluj-Napoca
*Contact email: eugeniu.semenciuc@com.utcluj.ro, andra.pastrav@com.utcluj.ro, tudor.palade@com.utcluj.ro, emanuel.puschita@com.utcluj.ro

Abstract

In recent years, a significant increase of mobile data traffic has been observed, resulting in more complex and diverse network services. Thus, it becomes more difficult to fulfill the requirements of QoS-sensitive applications. The emergence of new technologies such as Cloud Computing, Software Defined Networking and Network Function Virtualization provides an excellent ecosystem for QoS routing solutions to support real-time applications requirements in wireless networks. The scope of this paper is to propose a Software Defined Wireless Network controller implementation to determine the appropriate end-to-end QoS path in a wireless network ecosystem. The proposed solution is based on Bayesian reasoning and Fuzzy logic algorithms.