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Distributed formation of degree constrained minimum routing cost tree in wireless ad-hoc networks

机译:无线自组网中度约束最小路由成本树的分布式形成

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During several decades, there have been many researches on approximation algorithms for constructing minimum routing cost tree (MRCT) that minimizes the sum of routing cost of all pairs in a tree topology. Existing algorithms have been mainly studied in the field of graph theory, thus it is difficult to apply them to multi-hop wireless ad-hoc networks due to the theoretical and centralized methodology. In addition, wireless ad-hoc network protocols restrict the maximum degree, which is the maximum number of children a parent may have, in order to prevent excessive concentration of traffic. However, this limitation has not been considered by any existing algorithms. In this paper, we define the degree constrained MRCT (DC-MRCT) problem and extract the characteristics of DC-MRCT by analyzing all possible tree topologies for the given number of nodes. Based on these characteristics that DC-MRCT has the minimum sum of tree level and the maximum square sum of subtree sizes, we propose a distributed DC-MRCT Formation (DC-MRCTF) algorithm that can be applicable to any type of wireless ad-hoc network protocols working on tree topology. Performance evaluation shows that DC-MRCTF gives noticeable benefit for up to 80% of individual communication pair compared with the representative tree formation algorithm in ZigBee as well as significantly reduces the sum of routing cost of all pairs regardless of network density.
机译:在过去的几十年中,已经进行了许多有关构造最小路由成本树(MRCT)的近似算法的研究,该算法使树形拓扑中所有对的路由成本之和最小。现有算法主要在图论领域进行研究,因此由于理论和集中化方法的原因,难以将它们应用于多跳无线自组织网络。另外,无线自组织网络协议限制了最大程度,这是父母可能拥有的最大孩子数,以防止流量过度集中。但是,任何现有算法都未考虑此限制。在本文中,我们定义了度约束的MRCT(DC-MRCT)问题,并通过分析给定节点数的所有可能的树形拓扑来提取DC-MRCT的特征。基于DC-MRCT具有最小树级和和最大子树大小的平方和的这些特征,我们提出了一种分布式DC-MRCT编队(DC-MRCTF)算法,该算法可适用于任何类型的无线ad-hoc在树形拓扑上工作的网络协议。性能评估表明,与ZigBee中的典型树形成算法相比,DC-MRCTF最多可为80%的单个通信对提供显着的好处,并且无论网络密度如何,均可显着降低所有对的路由成本之和。

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