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PABM-EDCF: parameter adaptive bi-directional mapping mechanism for video transmission over WSNs

机译:PABM-EDCF:用于WSN上视频传输的参数自适应双向映射机制

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摘要

To support and keep high quality of video transmission over wireless sensor networks, this paper proposes a parameter adaptive bi-directional cross-layer mapping algorithm on the basis of the operation mechanism of IEEE 802.11e Enhanced Distributed Coordination Function (EDCF) supporting video service differentiation, named PABM-EDCF. Instead of classifying video data to a specific access category in 802.11e network, our proposed adaptive cross-layer scheme makes use of the hierarchy characteristic of video stream, dynamically maps video data to the appropriate access categories according to both the significance of the different video frames and the network traffic load. The significance passes from the application layer to the media access layer through a cross-layer architecture. In order to prevent the network congestion and keep the high transmission quality, the proposed algorithm adopts bi-directional floating mapping algorithm and congestion awareness mechanism based on the queue length and frame types. The mapping parameters are updated according to the network condition in time. Our simulation results indicate: the proposed method (a) improves the video transmission quality; (b) optimizes the management and utilization of queue resources; and (c) yields superior performance (under different loads) over 802.11e, static mapping and adaptive mapping schemes.
机译:为了支持并保持无线传感器网络上视频传输的高质量,本文基于支持视频服务差异化的IEEE 802.11e增强分布式协调功能(EDCF)的运行机制,提出了一种参数自适应双向跨层映射算法。 ,名为PABM-EDCF。我们提出的自适应跨层方案不是在802.11e网络中将视频数据分类为特定的访问类别,而是利用视频流的层次结构特征,根据不同视频的重要性将视频数据动态映射到适当的访问类别帧和网络流量负载。重要性通过跨层体系结构从应用程序层传递到媒体访问层。为了防止网络拥塞并保持较高的传输质量,该算法采用双向浮动映射算法和基于队列长度和帧类型的拥塞感知机制。映射参数会根据网络状况及时更新。仿真结果表明:所提出的方法(a)提高了视频传输质量; (b)优化队列资源的管理和利用; (c)(在不同的负载下)比802.11e,静态映射和自适应映射方案产生更高的性能。

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