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Network coding-based reliable multicast in wireless networks

机译:无线网络中基于网络编码的可靠多播

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Reliable multicast, the lossless dissemination of data from one sender to a group of receivers, has a wide range of important applications. Recently, network coding has been applied to the reliable multicast in wireless networks, where multiple lost packets with distinct intended receivers are XOR-ed together as one packet and forwarded via single retransmission, resulting in a significant reduction of bandwidth consumption. However, the simple XOR operation cannot fully exploit the potential coding opportunities and finding the optimal set of lost packets for XOR-ing is a complex NP-complete optimization problem. In this work, we intend to move beyond the simple XOR to more general coding operations. Specifically, we propose two new schemes (a static scheme which repeatedly retransmits one coding packet until all intended receivers receive it and a dynamic scheme which updates the coding packet once one or more receivers receive it) to encode packets with more general coding operations, which not only can encode lost packets with common intended receivers together to fully exploit the potential coding opportunities but also have polynomial-time complexity. We demonstrate, through both analytical and simulation results, that the proposed schemes can more greatly reduce the bandwidth requirement than the available coding-based schemes, especially in the case of high packet loss probabilities and a larger number of receivers. This reduction can vary from a few percents to over 15% depending on the packet loss probabilities and the number of receivers.
机译:可靠的多播,即从一个发送者到一组接收者的无损数据分发,具有广泛的重要应用。最近,网络编码已应用于无线网络中的可靠多播,其中将具有不同预期接收方的多个丢失数据包异或在一起作为一个数据包,并通过单个重传进行转发,从而显着降低了带宽消耗。但是,简单的XOR操作无法充分利用潜在的编码机会,并且找到最佳的丢失数据包以进行XOR运算是一个复杂的NP完全优化问题。在这项工作中,我们打算从简单的XOR转向更通用的编码操作。具体来说,我们提出了两种新方案(一种静态方案,该方案重复重传一个编码包,直到所有预期的接收者都收到它为止;另一种动态方案,当一个或多个接收者接收到它时,更新编码包),从而采用更通用的编码操作对数据包进行编码。不仅可以与通用接收器一起对丢失的数据包进行编码,以充分利用潜在的编码机会,而且还具有多项式时间复杂度。通过分析和仿真结果,我们证明,与可用的基于编码的方案相比,所提出的方案可以更大程度地降低带宽需求,尤其是在丢包率较高且接收器数量较大的情况下。根据丢包率和接收器数量的不同,这种减少的范围可以从百分之几到超过百分之十五。

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