Per-Flow Throughput Fairness in Ring Aggregation Network with Multiple Edge Routers

Nakayama, Yu; Sezaki, Kaoru

doi:10.3390/bdcc2030017

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Additionally, larger buffers could cause a problem called bufferbloat (persistently full buffers) [125]. Nakayama and Sezaki [126] stated that bufferbloat refers to the phenomenon of excess buffering of frames causing high latency and low throughput. Even when being studied mainly in the context of wired networks, persistently full buffers can deteriorate the fairness of rate allocation and increase the RTT in wireless networks [127].…”

Section: Buffer Lossesmentioning

confidence: 99%

MAC-Layer Packet Loss Models for Wi-Fi Networks: A Survey

Silva

Pedroso

2019

IEEE Access

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Technical reports indicate that wireless and mobile devices will account for 71% of all IP traffic by 2022, an increase of 19% over four years. This increase is related to advances in wireless data communication technologies. Wireless networks have become one of the most important ways to connect devices to the Internet, therein improving productivity and encouraging information sharing. IEEE 802.11, known as Wi-Fi, has become the main standard for wireless local area networks. The most important metrics for measuring the quality of Wi-Fi are delay, jitter, and packet loss. Packet loss occurs when one or more packets fail to reach their destination and can occur for a variety of reasons. Packet loss influences the user's perceived quality of applications over Wi-Fi networks, mainly multimedia and real-time applications. The availability of accurate models for packet loss in Wi-Fi networks enables the development of more efficient methods for performance analysis and network design, as well as better computational simulations. Modeling packet loss in such networks presents a major challenge because packets may be lost for many different reasons, including signal attenuation, noise, multipathing, signal refraction, thermal noise, competition for media access and buffer issues. In this paper, we provide an overview of the causes of packet loss and a comprehensive survey of the available models for packet loss in Wi-Fi networks. The potential benefits of the survey are: (i) the systematic presentation of available packet loss models for Wi-Fi networks, their parameters, and respective packet loss rate evaluation, (ii) comparison of models considering validation scenarios and input parameters, and (iii) description of open issues and future research directions. We hope that our analysis will help researchers understand the most important characteristics of the packet loss process in Wi-Fi networks and the strengths and weaknesses of the main packet loss models.INDEX TERMS Gilbert-Elliot model, packet loss model, packet loss rate, Wi-Fi communication.

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Section: Buffer Lossesmentioning

confidence: 99%

MAC-Layer Packet Loss Models for Wi-Fi Networks: A Survey

Silva

Pedroso

2019

IEEE Access

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“…Therefore, it is a significant problem for network carriers to restore telecommunication services in the disaster-stricken area as soon as possible. Furthermore, considering the rapid growth of Internet of Things (IoT) applications [5], the fault tolerance of optical networks is also essential for stably forwarding big sensor data [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Nonlinear Bypass Route Computation for Wired and Wireless Network Cooperation Recovery System

Nakayama¹,

Maruta

2018

BDCC

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It is a significant issue for network carriers to immediately restore telecommunication services when a disaster occurs. A wired and wireless network cooperation (NeCo) system was proposed to address this problem. The goal of the NeCo system is quick and high-throughput recovery of telecommunication services in the disaster area using single-hop wireless links backhauled by wired networks. It establishes wireless bypass routes between widely deployed leaf nodes to relay packets to and from dead nodes whose normal wired communication channels are disrupted. In the previous study, the optimal routes for wireless links were calculated to maximize the expected physical layer throughput by solving a binary integer programming problem. However, the routing method did not consider throughput reduction caused by sharing of wireless resources among dead nodes. Therefore, this paper proposes a nonlinear bypass route computation method considering the wireless resource sharing among dead nodes for the NeCo system. Monte Carlo base approach is applied since the nonlinear programming problem is difficult to solve. The performance of the proposed routing method is evaluated with computer simulations and it was confirmed that bandwidth division loss can be avoided with the proposed method.

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