CR:真实环境中无线自组织网络路由的能力信息

Zhen Jiang, Zhigang Li, Nong Xiao, Jie Wu
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引用次数: 2

摘要

在贪婪路由中,每个中继节点将消息转发给离目的地更近的邻居(也称为后继节点)。但是,每次中继节点与目的地的相对位置发生变化时,后继候选集(SCS)都是不同的。当从一个中继节点开始的所有后续路径都被局部最小值阻塞时,整个网络的配置是不规则的,除非路由实际发起,否则无法确定其关注区域。本文在不牺牲路由灵活性的前提下,引入了一种新的信息模型来确定局部最小值影响下的路由模式。因此,每前进1跳就可以避免这些不安全的情况,从而保持在不绕路的路径上。在我们的模型中,每个节点在主动模型中准备信息,但可以将其用于经过的所有不同路径,从而节省了响应模型中的成本和延迟。为了在通信链路构成不规则、质量动态变化的实际应用中实现可靠的解决方案,我们重点研究了“每个人”模型,每个节点将以完全分布式的方式应用相同的通用流程。详细地,我们讨论了如何在一个示例现实环境中,在每个节点的[0,1]中的单个安全描述符中解释SCS模式。它表示从该节点到网络边缘成功的非绕路路径的最大概率。该值越大,说明不绕路路由成功的可能性越大,路径的可靠性越高。与迄今为止已知的最佳结果相比,我们从信息构建和更新传播的成本以及非绕行路径构建的成功度方面说明了该间接参考信息在相应路由中的有效性。
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CR: Capability Information for Routing of Wireless Ad Hoc Networks in the Real Environment
In greedy routing, each relay node forwards the message to a neighbor (also called successor) that is closer to the destination. However, the successor candidate set (SCS) is different every time when the relative location of relay node to the destination changes. The configuration in the entire network when all the succeeding paths from a relay node are blocked by local minima is irregular and its concern region cannot be determined unless the routing actually initiates. In this paper, we introduce a new information model to determine the pattern of SCS under the impact of local minima by sacrificing little routing flexibility. As a result, each 1-hop advance can avoid those unsafe situations in order to stay along a non-detour path. In our model, each node prepares the information in a proactive model, but can use it for all different paths passing through, saving the cost and delay in the reactive model. We focus on an ``everyone" model, in which each node will apply the same generic process in a fully distributed manner, in order to achieve a reliable solution in real applications where the communication link is constituted irregularly and its quality changes dynamically. In details, we discuss how in a sample realistic environment the pattern of SCS can be interpreted in a single safety descriptor in [0,1] at each node. It indicates the maximum probability of a successful non-detour path from this node to the edge of networks. The larger value the more likely the non-detour routing will be successful and the more reliable the path will be. We illustrate the effectiveness of this indirect reference information in the corresponding routing, in terms of the cost of information construction and update propagation, and the success of non-detour path constitution, compared with the best results known to date.
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