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An Adaptive Multimedia Signal Transmission Strategy in Cloud-Assisted Vehicular Networks

机译：云辅助车载网络中的自适应多媒体信号传输策略

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摘要

Recently, Vehicular Ad-hoc Network (VANET) has been drawing lots of attentions from many researchers. It is considered as an important future network for Intelligent Transportation Systems (ITS). Meanwhile, the cloud network has been gradually accepted by more and more customers as a flexible storage and computing facility. In this paper, we propose a novel communication system to integrate vehicular network and Cloud to provide shareable multimedia services, i.e., local news, weather forecast, popular game videos etc. To achieve this goal, a relay-selective multi-hop scheme is designed in this system where Road Side Units (RSU) will be allocated by Cloud assistance to provide multimedia services. This scheme has been proved to be able to take precautionary measures for severe weathers and also reduce transmission burdens in wireless channels. Moreover, we apply the Hybrid Automatic Repeat Quest (HARQ) mechanism based on multimedia data to improve the transmission reliability. Simulation results show that our proposed scheme can support and improve the shareable multimedia service, especially in throughput-sensitive and high-speed vehicular networks.
机译：最近，车载自组织网络（VANET）吸引了许多研究人员的关注。它被认为是智能交通系统（ITS）的重要未来网络。同时，云网络已逐渐被越来越多的客户接受为灵活的存储和计算工具。在本文中，我们提出了一种新颖的通信系统，将车辆网络和云集成在一起，以提供可共享的多媒体服务，例如本地新闻，天气预报，热门游戏视频等。为实现这一目标，设计了一种中继选择多跳方案在该系统中，云辅助将分配路边单元（RSU）以提供多媒体服务。事实证明，该方案能够针对恶劣天气采取预防措施，还可以减轻无线信道中的传输负担。此外，我们基于多媒体数据应用了混合自动重复搜索（HARQ）机制，以提高传输可靠性。仿真结果表明，本文提出的方案可以支持和改善可共享的多媒体服务，特别是在吞吐量敏感的高速车载网络中。

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