Characterization of user activity and traffic in a commercial nationwide Wi-Fi hotspot network: global and individual metrics

Divgi, Gautam; Chlebus, Edward

doi:10.1007/s11276-013-0558-0

Cited by 14 publications

(12 citation statements)

References 14 publications

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“…Though this assumption is based on the existing analysis of the wireless hotspots characteristics and the urban wireless deployment fundamentals [5], the assumption may get violated at the boundary of a hotspot, where a MN may not get multiple connection opportunities. In the proposed scheme, the admission control and the handover modules work in a cooperative manner.…”

Section: F Discussion: Mns At the Hotspot Boundarymentioning

confidence: 99%

“…The proposed scheme assumes that there exists sufficient overlapping among the BSSs, such that every MN has the option to connect with more than one APs. This assumption is based on existing analysis of WiFi hotspots and urban wireless deployments [4], [5], which shows that APs are deployed in a highly dense manner to ensure sufficient coverage and to provide multiple connection options to the end users. However, this assumption may be relaxed at the boundary areas of a hotspot, where a MN may not have multiple connection opportunities.…”

Section: Theoretical Foundation: Context Aware Handover With Multmentioning

confidence: 99%

“…At every iteration x, the matrix G i (x) is calculated based on the Λ Ni and Λ Hi (x) obtained by the fixed point approximation. The λ im values obtained using this approximation is used to calculate the steady state probability mass function given is (5). The fixed point approximation is terminated based on the bound on the normalization constant Z at iteration x, denoted as Z(x), as follows,…”

Section: Extension With a General Mobility Modelmentioning

confidence: 99%

“…QoS and QoE is an end-to-end problem, and therefore difficult to manage in a distributed wireless environment. The recent studies of the traffic distribution in a public wireless hotspot, such as [2]- [5] and the references therein, reveal two important observations. First, the number of APs deployed is more than the actual requirement, and second, the users visit only a few APs.…”

Section: Introductionmentioning

confidence: 99%

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Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot

Sarma

Chakraborty

Nandi

2014

IEEE Trans. Netw. Serv. Manage.

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IEEE 802.11 Community wireless hotspots are widely used to provide ubiquitous Internet connections to the endusers in public areas such as airports and restaurants. The recent analysis of the traffic pattern in a wireless hotspot shows more APs are deployed in a public area than required, though the users visit only a few APs. As a consequence, severe load imbalance is observed in a hotspot local area network (LAN), that results in performance degradation in terms of quality of service (QoS) for the network and quality of experience (QoE) for the end-users. This paper proposes a set of bandwidth management policies to achieve this goal, and the effectiveness of these policies is analyzed theoretically. According to the theoretical foundation, a context aware handover management scheme for proper load distribution in a public IEEE 802.11 network, supporting the class-aware bandwidth management policies, is designed in this paper. The performance of the proposed scheme is evaluated using an IEEE 802.11g+e wireless LAN testbed, and compared with other schemes proposed in the literature.Index Terms-Handover management, load balancing, IEEE 802.11e, QoE, QoS. 1932-4537

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Section: F Discussion: Mns At the Hotspot Boundarymentioning

confidence: 99%

Section: Theoretical Foundation: Context Aware Handover With Multmentioning

confidence: 99%

Section: Extension With a General Mobility Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot

Sarma

Chakraborty

Nandi

2014

IEEE Trans. Netw. Serv. Manage.

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“…do tráfego de dados de dispositivos móveis para redes fixas sem fio, que compõe 60% do tráfego móvel global [Cisco, 2017]. Assim, da popularização das redes sem fio padrão IEEE 802.11 as tornam presença constante em diversos ambientes [Mattos et al, 2019, Divgi e Chlebus, 2013. No entanto, essa mesma popularização fomenta o desafio de controlar e gerenciar esse tipo de rede, já que um ponto de acesso típico está na vizinhança de diversos outros, sofrendo e gerando interferência [Biswas et al, 2015].…”

Section: Introductionunclassified

Uma Abordagem Não Supervisionada para Inferir Qualidade de Experiência em Redes Sem Fio de Grande Escala

Mattos¹,

Medeiros²,

Fernandes³

et al. 2019

Anais Do Workshop De Gerência E Operação De Redes E Serviços

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Inferir a qualidade da experiência de usuários de redes sem fio é desafiador, pois o monitoramento da rede não captura a qualidade para cada usuário individualmente. Este artigo propõe uma abordagem não supervisionada, baseada em aprendizado de máquina, para inferir a qualidade de experiência de diferentes perfis de uso de uma rede sem fio de grande escala. A abordagem proposta usa a correlação entre dados de uso de pontos de acesso e estatísticas de fluxos de dados na rede. A ideia central da proposta é coletar dados de utilização de diversos pontos de acesso, correlacioná-los com as estatísticas dos fluxos das conexões que passam pelos pontos de acesso, reportados pelo NetFlow, e, a partir da aplicação do algoritmo de agrupamento k-means, inferir diferentes perfis de uso da rede. A abordagem proposta foi avaliada na rede sem fio real de grande escala e os resultados mostram que a separação dos fluxos em cinco agrupamentos permite identificar perfis característicos de estados degradados da rede e situações de sobrecarga em pontos de acesso, considerando apenas as estatísticas de fluxos reportadas.

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An Unsupervised Approach to Infer Quality of Service for Large-Scale Wireless Networking

Reis¹,

Magalhães²,

Medeiros³

et al. 2020

J Netw Syst Manage

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Characterization of user activity and traffic in a commercial nationwide Wi-Fi hotspot network: global and individual metrics

Cited by 14 publications

References 14 publications

Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot

Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot

Uma Abordagem Não Supervisionada para Inferir Qualidade de Experiência em Redes Sem Fio de Grande Escala

An Unsupervised Approach to Infer Quality of Service for Large-Scale Wireless Networking

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