QoE and QoS in wireless mesh networks

Gomes, Rafael L.; Jailton, José; Moreira, Waldir; Abelém, Antônio

doi:10.1109/latincom.2009.5305125

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…É importante destacar que a correlação das métricas de QoE e QoS em rede computadores já vem sendo abordada por outros trabalhos como em [2]. Já em [3][4] foi realizado um estudo dos impactos causados na qualidade de vídeos transmitidos através de uma rede sem fio (Wi-Fi) analisando as métricas QoE e QoS.…”

Section: Introductionunclassified

Predição QoE Baseado em QoS Utilizando Neuro- Fuzzy em Transmissão de Vídeo em Redes Wi-Fi

Cruz¹,

Braga²,

Araújo³

et al. 2016

Anais De XXXIV Simpósio Brasileiro De Telecomunicações

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Resumo-Neste trabalho, estuda-se uma metodologia que auxilia o planejamento de sistemas de comunicações móvel indoor. O procedimento metodológico adotado é baseado na abordagem cross-layer, que demonstra o impacto da camada de rede em relação à camada de aplicação, com o objetivo de analisar o comportamento de métricas de QoS (Qualidade de Serviço) e QoE (Qualidade de Experiência) em transmissões de vídeo em uma rede 802.11g em ambientes indoor, possibilitando a predição de métricas de QoE, como a PSNR (Peak signal-to-noise ratio), SSIM (structural similarity) e VQM (Vídeo Quality Metric) a partir dos parâmetros de entrada, isto é, métricas de QoS (jitter, perda de pacotes, atraso), por meio da aplicação de uma técnica de inteligência computacional chamada Neuro-Fuzzy. O método de predição obteve uma boa precisão, com taxa erro RMS aceitáveis.

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Section: Introductionunclassified

Predição QoE Baseado em QoS Utilizando Neuro- Fuzzy em Transmissão de Vídeo em Redes Wi-Fi

Cruz¹,

Braga²,

Araújo³

et al. 2016

Anais De XXXIV Simpósio Brasileiro De Telecomunicações

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show abstract

“…Sumado a lo anterior, tenemos que el conjunto heterogéneo de aplicaciones que utilizarán los servicios de conectividad de una iWMN demandarán requerimientos elevados de QoS, mientras que el ancho de banda disponible en redes inalámbricas es un recurso limitado [30,31]. La conjugación de estos factores impactará seriamente en la calidad de la experiencia para los usuarios de la red.…”

Section: Ventajas De Las Redes Iwmnsunclassified

Codificación adaptativa de red para sistemas inalámbricos IEEE 802.11s en modo infraestructura

Arellano

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IEEE 802.11S INFRASTRUCTURE WIRELESS MESH NETWORKS (commonly known as iWMNs) are integrated by static wireless nodes capable of working in coordination to route data packets. In this way, the nodes collaborate to exchange information with each other. In addition, iWMNs can be interconnected with other network technologies and, in this way, help to wirelessly extend the coverage of these networks; for example, iWMNs are used today to extend the coverage of cellular or wired networks. Thanks to this feature, and also to their low infrastructure cost, iWMNs networks are considered today as an excellent option to offer wireless Internet connectivity services in geographical areas where the use of other network technologies is unfeasible. Despite the promising features of iWMNs, there are studies and results that cast doubt on their performance, since it has been documented that the performance of these networks can be affected by numerous factors; such as the use of TCP to transport information in wireless environments, the transmission errors in the wireless medium, as well as the access contention between network users. All these factors can degrade the performance of iWMNs and, consequently, affect the quality of the experience for the users. In this doctoral thesis, some of these performance problems are addressed through the technique called adaptive network coding. With this technique, the nodes of an iWMN are allowed to combine various data packets and thus build an encoded packet; this packet contains the information from the original packets, requiring only one wireless transmission to transport the original information, reducing the use of the wireless medium and, thereby, increasing the capacity of the network. The proposed technique also seeks to adapt the coding process to the traffic conditions in the network through the dynamic adjustment of the waiting time of the packets in a node before they can be combined. This proposal aims to substantially improve the performance of iWMNs, solving some problems that affect them. The evaluation of the proposal is carried out through simulations and numerical evaluations. After a detailed analysis of the results, we find that iWMNs can improve their performance by using the adaptive network coding technique, since the number of wireless transmissions in the network is considerably reduced, and, consequently, i) the medium access contention decreases, ii) the probability of errors in the medium is reduced, and iii) the capacity of the network increases.

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Towards a model to interlink Quality of Experience with algorithm development

Kepplinger

Weigel

2011

2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)

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QoE and QoS in wireless mesh networks

Cited by 5 publications

References 21 publications

Predição QoE Baseado em QoS Utilizando Neuro- Fuzzy em Transmissão de Vídeo em Redes Wi-Fi

Predição QoE Baseado em QoS Utilizando Neuro- Fuzzy em Transmissão de Vídeo em Redes Wi-Fi

Codificación adaptativa de red para sistemas inalámbricos IEEE 802.11s en modo infraestructura

Towards a model to interlink Quality of Experience with algorithm development

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