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Coding Opportunity Aware Backbone Metrics for Broadcast in Wireless Networks

机译:用于无线网络中的广播的机会感知主干度量标准

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摘要

Reducing transmission redundancy is key to efficient broadcast in wireless networks. A standard approach to achieving this goal is to create a network backbone consisting of a subset of nodes that are responsible for data forwarding, while other nodes act as passive receivers. On top of this, network coding (NC) is often used to further reduce unnecessary transmissions. The main problem with existing backbone and NC combinations is that the backbone construction process is blind of what is needed by NC, thus may produce a structure that limits the power of NC algorithms. To address this problem, we propose Coding Opportunity Aware Backbone (COAB) metrics, which seek to maximize coding opportunities when selecting backbone forwarders. We show that the backbone construction process guided by our metrics leads to significantly increased coding frequency, at the cost of minimal localized information exchange. The highlight of our work is COAB's broad applicability and effectiveness. We integrate the COAB metrics with ten state-of-the-art broadcast algorithms specified in eight publications [1]-[8], and evaluate COAB with a running testbed of 30 MICAz nodes and extensively simulations. The experimental results show that our design outperforms the existing schemes substantially.
机译:减少传输冗余是无线网络中高效广播的关键。实现此目标的标准方法是创建一个网络骨干网,该骨干网由负责数据转发的节点子集组成,而其他节点则充当被动接收器。除此之外,网络编码(NC)通常用于进一步减少不必要的传输。现有的骨干网和NC组合的主要问题在于,骨干网的构建过程对NC所需要的内容视而不见,因此可能会产生限制NC算法功能的结构。为了解决此问题,我们提出了编码机会感知骨干(COAB)度量标准,该度量标准旨在在选择骨干转发器时最大化编码机会。我们表明,以我们的指标为指导的骨干网建设过程导致编码频率显着提高,但以最小化本地信息交换为代价。我们工作的重点是COAB的广泛适用性和有效性。我们将COAB指标与八种出版物[1]-[8]中指定的十种最新广播算法集成在一起,并使用30个MICAz节点的运行测试平台和广泛的仿真来评估COAB。实验结果表明,我们的设计明显优于现有方案。

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