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QoSA-ICN: An information-centric approach to QoS in vehicular environments

机译：Qosa-ICN：在车辆环境中以信息为中心的QoS方法

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摘要

Heterogeneous content-based traffic distribution motivates Information-Centric Networking (ICN), where content delivery is of primary interest as a prominent solution. However, current work does not address Quality of Service (QoS) provisioning for prioritized traffic, which is required for different applications and content types. This paper extends ICN with data delivery deadline awareness and shapes the forwarding decisions to ensure prioritized packet treatment. The proposed QoS Aware-ICN (QoSA-ICN) classifies requests' priority with their QoS requirements by codifying a QoSInfo object in interest/data packets. QoSA-ICN also extends the existing NDN transmission mode to a converged best route with multi-hop multi-route forwarding, to avoid the overhead of pre-building routes in rapidly changing and dynamic environments. Furthermore, this work expands the network traffic control mechanism to optimally manage the potential impact of QoS on network congestion control. Extensive simulations results show a 3.5x and 1.2x improvement in data delivery time; and 13.5x and 4.6x reduction in packet loss when compared to DRSC-based native IP and NDN approaches, in networks of different sizes. Through simulations, we also found that QoSA-ICN reduces overall content retrieval time and packet loss while achieving a high ratio of successfully-received priority packets as compared to the existing techniques T-Move, MAP-Me and pNDN. (C) 2021 The Author(s). Published by Elsevier Inc.
机译：基于异构内容的流量分配激励以信息为中心的网络（ICN），其中内容交付是主要兴趣作为突出的解决方案。但是，当前工作没有解决优先级流量的服务质量（QoS）配置，这是不同的应用程序和内容类型所必需的。本文扩展了ICN，具有数据交付截止日期意识并塑造转发决策，以确保优先级的数据包治疗。所提出的QoS Invear-ICN（QoSA-ICN）通过对兴趣/数据包中的QoSInfo对象编制QoSInfo对象来分类请求的优先级。 Qosa-ICN还将现有的NDN传输模式扩展到具有多跳多路线转发的融合最佳路由，以避免在快速变化和动态环境中预制路线的开销。此外，这项工作扩展了网络流量控制机制，以最佳地管理QoS对网络拥塞控制的潜在影响。广泛的模拟结果显示数据交付时间的3.5倍和1.2倍;与基于DRSC的本机IP和NDN方法相比，在不同尺寸的网络中，丢包减少了13.5倍和4.6倍。通过模拟，我们还发现Qosa-ICN减少了总体内容检索时间和丢包，同时与现有技术T-Move，Map-Me和PNDN相比，实现了成功接收的优先级数据包的高比率。 （c）2021提交人。 elsevier公司发布

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