结合认知技术的车联网视频流协同错误控制机制

Ming-Fong Tsai, N. Chilamkurti, Hsia-Hsin Li
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引用次数: 18

摘要

基于车载网络的视频流传输在应急视频传输和车际视频传输等应用中具有重要的应用前景。访问路边单元的车辆只有几秒钟的时间来下载信息,并经历高丢包率。为此,本文结合认知技术CT,提出了无线车载网络视频流的协同错误控制CEC机制。结合CT的CEC机制采用了一种合作错误恢复方案,不仅可以从使用主信道的路旁单元恢复丢失的数据包,还可以从使用空闲信道的其他车辆恢复丢失的数据包。因此,结合CT的CEC机制可以提高车用网络视频流的错误恢复性能和质量。仿真结果表明,结合CT的CEC机构的误差恢复性能优于其他相关机构。
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Cooperative Error Control Mechanism Combining Cognitive Technology for Video Streaming Over Vehicular Networks
Video streaming over vehicular networks is an attractive feature to many applications, such as emergency video transmission and inter-vehicle video transmission. Vehicles accessing road-side units have a few seconds to download information and experience a high packet loss rate. Hence, this paper proposes Cooperative Error Control CEC mechanism combining Cognitive Technology CT for video streaming over wireless vehicular networks. CEC mechanism combining CT uses a cooperative error recover scheme to recover lost packets not only from a road-side unit which uses the primary channel but also from the other vehicles using a free channel. Hence, CEC mechanism with CT can enhance error recovery performance and quality of video streaming over vehicular networks. Simulation results show the error recover performance of the CEC mechanism combining CT performs better than the other related mechanisms.
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