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首页> 外文期刊>International journal of adaptive, resilient, and autonomic systems >RELADO: RELiable and ADaptive Opportunistic Routing Protocol for Wireless Mesh Networks
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RELADO: RELiable and ADaptive Opportunistic Routing Protocol for Wireless Mesh Networks

机译：RELADO：无线网状网络的可靠且自适应的机会路由协议

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摘要

Opportunistic routing is considered as one of the most promising techniques to effectively limit performance degradation in wireless mesh networks caused by unpredictable channel variations and high loss rates. This paradigm defers the selection of the next hop after the packet reception to take advantage of any opportunity provided by broadcast transmissions. Most of the existing opportunistic approaches base the forwarder selection on end-to-end principles. However, in multi-hop wireless environments the cost of a path is not uniformly distributed over space, nor constant over time, hence even two equal-cost paths might present significantly different link quality distributions one from the other. This encourages the use of localized context to implement a more accurate selection of the possible forwarders after each packet transmission. Hence, in this paper the authors propose RELADO, an adaptive opportunistic routing protocol able to efficiently combine end-to-end with local information to ensure transmission resilience across the network With this flexibility, RELADO is able to reduce packet loss by ensuring the best trade-off between throughput maximization and packet progress. An extensive set ofns2 simulations confirms the potentiality of RELADO to improve network performance when compared to both legacy unicast and opportunistic routing protocols.
机译：机会路由被认为是有效限制无线网状网络中由于不可预测的信道变化和高丢失率而导致的性能下降的最有前途的技术之一。该范例推迟了数据包接收后下一跳的选择，以利用广播传输提供的任何机会。大多数现有的机会主义方法都是基于端到端原则来选择转发器的。然而，在多跳无线环境中，路径的成本不是在空间上均匀分布的，也不是随时间恒定的，因此，即使两个等成本的路径也可能呈现出彼此明显不同的链路质量分布。这鼓励在每次分组传输之后使用局部上下文来实现对可能的转发器的更准确选择。因此，在本文中，作者提出了RELADO，这是一种自适应机会路由协议，能够有效地将端到端与本地信息结合起来，以确保跨网络的传输弹性。通过这种灵活性，RELADO能够通过确保最佳交易来减少数据包丢失在吞吐量最大化和包进度之间切换。与传统的单播和机会路由协议相比，大量的ns2模拟证实了RELADO改善网络性能的潜力。

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