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

被引：1

作者：

Semenciuc, Eugeniu ^{[1
]}

Pastrav, Andra ^{[1
]}

Palade, Tudor ^{[1
]}

Puschita, Emanuel ^{[1
]}

机构：

[1] Tech Univ Cluj Napoca, Dept Commun, G Baritiu 26-28, Cluj Napoca 400027, Romania

来源：

FUTURE ACCESS ENABLERS FOR UBIQUITOUS AND INTELLIGENT INFRASTRUCTURES, FABULOUS 2017 | 2018年 / 241卷

关键词：

QoS routing; End-to-end QoS path; Wireless network ecosystem; Bayesian reasoning; Fuzzy logic; CELLULAR-SYSTEMS;

D O I：

10.1007/978-3-319-92213-3_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：134 / 140

页数：7

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