A Review of Software-Defined WLANs: Architectures and Central Control Mechanisms

Dezfouli, Behnam; Esmaeelzadeh, Vahid; Sheth, Jaykumar; Radi, Marjan

doi:10.1109/comst.2018.2868692

Cited by 46 publications

(33 citation statements)

References 162 publications

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“…Sen and Sivalingam [29] presented the testbed implementation details of a seamless handover mechanism for a software-defined enterprise WLAN framework. The authors of [30] presented an overview of SDWLAN architectures and provided a qualitative comparison in terms of features such as programmability and virtualization.…”

Section: Related Workmentioning

confidence: 99%

Terminal handover in software-defined WLANs

Chen

Duan

Zhang

2020

J Wireless Com Network

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With the development of wireless LAN (WLAN) technology, wireless access points (APs) are deployed increasingly more and the number of mobile terminals is increasing. It is normal for a mobile terminal to hand over its AP. The traditional terminal handover method cannot effectively control the handover delay and balance the network load due to the inherent drawbacks such as closed encapsulation and the lack of centralized control. In this paper, we introduce the innovative network architecture of software-defined networking (SDN), propose a software-defined WLAN architecture, and propose a seamless handover method and a load balancing handover method of the softwaredefined WLAN. Experimental results show that the proposed handover method effectively reduces the handover delay, balances the network load, and improves the quality of service (QoS) and resource utilization of the network.

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Section: Related Workmentioning

confidence: 99%

Terminal handover in software-defined WLANs

Chen

Duan

Zhang

2020

J Wireless Com Network

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“…MR-MGSSL is a multi-graph classification algorithm for centralized tagged and unlabeled among the semi-supervised multi-graph classification algorithms [28]. The basic idea is to select some characteristic subgraphs from some of the multi-graph datasets.…”

Section: Algorithm Frameworkmentioning

confidence: 99%

Research on semi-supervised multi-graph classification algorithm based on MR-MGSSL for sensor network

Yang

Jin

et al. 2020

J Wireless Com Network

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With the advent of the era of network information, the amount of data in network information is getting larger and larger, and the classification of data becomes particularly important. Current semi-supervised multi-map classification methods cannot quickly and accurately perform automatic classification and calculation of information. Therefore, this paper proposes an MR-MGSSL algorithm and applies it to the classification of semi-supervised multi-graph. By determining the basic idea and calculation framework of MR-MGSSL algorithm, the mining of optimal feature subsets in multi-graphs and the multi-graph vectorization performance time are taken as examples, and the proposed algorithm is compared with other semi-supervised multi-graph classification methods. The performance evaluation results show that compared with other classification calculation methods, MR-MGSSL algorithm has the advantages of low sensitivity to feature subgraph and short vectorization time. The method is used to extract and detect clouds in remote sensing images (GF-1 and GF-2).

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“…Именно это разделение ускорило модификацию процесса управления компонентами сетевой инфраструктуры и привело к появлению целого семейства универсальных конфигурационных платформ (например, Ansible) [6], что, в свою очередь, сделало возможной модельно-ориентированную автоматизацию этого процесса [7]. Сегодня область внедрения технологий программного конфигурирования постоянно расширя-ется, захватывая все новые направления телекоммуникаций [8] и смежные IT-области, что позволяет говорить о программно определяемом конфигурировании как об универсальном подходе (Software-Defined Everything/Anything-SDx) [9], который задает современные направления развития информационных технологий. Именно поэтому знание базовых принципов построения ПКС становится основой профессионального образования современного ITспециалиста, что делает актуальным скорейшее внедрение соответствующих курсов в учебный процесс высших образовательных учреждений.…”

Section: ключевые слова: программно конфигурируемые сети виртуальноеunclassified

Building a laboratory bench for the study of software-configurable network infrastructures

Filimonov¹,

Aksyonov²,

Klimova³

et al. 2020

Izv. vysš. učebn. zaved., Priborostr.

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A Review of Software-Defined WLANs: Architectures and Central Control Mechanisms

Cited by 46 publications

References 162 publications

Terminal handover in software-defined WLANs

Terminal handover in software-defined WLANs

Research on semi-supervised multi-graph classification algorithm based on MR-MGSSL for sensor network

Building a laboratory bench for the study of software-configurable network infrastructures

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