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Efficient Network Coding with Interference-Awareness and Neighbor States Updating in Wireless Networks

机译：在无线网络中更新的有效网络编码和邻居状态

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摘要

Network coding is emerging as a promising technique that can provide significant improvements in the throughput of Internet of Things (IoT). Previous network coding schemes focus on several nodes, regardless of the topology and communication range in the whole network. Consequently, these schemes are greedy. Namely, all opportunities of combinations of packets in these nodes are exploited. We demonstrate that there is still room for whole network throughput improvement for these greedy design principles. Thus, in this paper, we propose a novel network coding scheme, ECS (Efficient Coding Scheme), which is designed to achieve a higher throughput improvement with lower computational complexity and buffer occupancy compared to current greedy schemes for wireless mesh networks. ECS utilizes the knowledge of the topologies to minimize interference and obtain more throughput. We also prove that the widely used expected transmission count metric (ETX) in opportunistic listening has an inherent error ratio that would lead to decoding failure. ECS therefore exploits a more reliable broadcast protocol to decrease the impact of this inherent error ratio in ETX. Simulation results show that ECS can greatly improve the performance of network coding and decrease buffer occupancy.
机译：网络编码是一种很有前途的技术，可以显著提高物联网（IoT）的吞吐量。以前的网络编码方案关注多个节点，而不考虑整个网络的拓扑结构和通信范围。因此，这些计划是贪婪的。也就是说，利用这些节点中分组组合的所有机会。我们证明了这些贪婪的设计原则仍有提高整个网络吞吐量的空间。因此，在本文中，我们提出了一种新的网络编码方案ECS（高效编码方案），与现有的贪婪无线mesh网络方案相比，该方案在计算复杂度和缓冲区占用率较低的情况下实现了更高的吞吐量改进。ECS利用拓扑知识最小化干扰并获得更高的吞吐量。我们还证明了在机会主义监听中广泛使用的预期传输计数度量（ETX）具有固有的错误率，这将导致解码失败。因此，ECS利用更可靠的广播协议来降低ETX中固有错误率的影响。仿真结果表明，ECS可以大大提高网络编码性能，减少缓冲区占用。

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