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Environment-Aware CMT for Efficient Video Delivery in Wireless Multimedia Sensor Networks

机译:在无线多媒体传感器网络中高效传送视频的环境感知CMT

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Wireless Multimedia Sensor Networks (WMSNs) have gained significant attention with capabilities of retrieving video and audio streams, still images, and scalar sensor data but with challenge of high data loss. As more and more wireless devices are equipped with multiple network interfaces, multimedia delivery over multipath has been cognized as a more promising approach in wireless transmission. In this paper, basedon the Concurrent Multipath Transfer (CMT) extension for Stream Control Transport Protocol (SCTP), we propose a novel environment-aware CMT (e-CMT) to overcome the high data loss challenge, as well as “a hot potato” congestion problem in wireless transmission. Thee-CMT provides environment-aware cognitive ability for efficient video delivery with three modules, which are Path Quality-aware Model (PQM) that devotes to estimate path quality and select candidate path using for retransmission, Adaptive Retransmission Trigger (ART) that contributes to cognize packet loss and trigger efficient retransmission behaviors, and Congestion-avoid Data Distributor (CDD) that serves to enablePartial-Reliableretransmission to mitigate congestion condition. We design a close realistic topology to present how thee-CMT outperforms the original CMT for efficient video delivery over multihomed WMSNs.
机译:无线多媒体传感器网络(WMSN)具有检索视频和音频流,静态图像和标量传感器数据的功能,但是却面临着数据丢失率高的挑战,因此受到了广泛的关注。随着越来越多的无线设备配备有多个网络接口,通过多路径进行多媒体传输已被认为是无线传输中一种更有前途的方法。在本文中,基于针对流控制传输协议(SCTP)的并发多路径传输(CMT)扩展,我们提出了一种新型的环境感知CMT(e-CMT)来克服高数据丢失的挑战,以及“一个烫手山芋”无线传输中的拥塞问题。 Thee-CMT通过三个模块提供环境感知的认知能力,以实现高效的视频传输,这三个模块是路径质量感知模型(PQM),用于估计路径质量并选择用于重传的候选路径;自适应重传触发(ART)有助于认识到丢包并触发有效的重传行为,使用避免拥塞的数据分发器(CDD)来启用部分可靠重传以缓解拥塞情况。我们设计了一个逼真的拓扑结构,以展示e-CMT如何胜过原始CMT,从而可以在多宿主WMSN上高效地传递视频。

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