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基于加权的具有相同移动特性的车载自组网分簇算法
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TN929.5; TP393.2

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A Weight-Based Clustering Algorithm for Vehicular Ad Hoc Networks with the Same Mobile Characteristics
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    摘要:

    针对战场环境下通信质量较低的问题,提出了一种基于加权的具有相同移动特性的车载自组网分簇算法。首先通过对移动节点的速度相似度和距离相似度进行计算,将具有相同移动特性且距离相近的节点分为同一个簇,并设置每个分簇中簇成员的最大阈值;计算移动节点的速度因子、距离因子和平均链路维持率,并在分簇中对每个移动节点的这3个因素进行加权,选取权值最大的作为首要簇头,权值第二大的作为次要簇头,首要簇头失效时次要簇头充当主要簇头角色,且主要簇头给每个成员分配了TDMA时隙,提高了通信质量。仿真实验结果表明:与WCA算法和WBACA算法相比,该分簇算法在簇结构的稳定性和分组投递率方面都有较大的改善。

    Abstract:

    Aimed at the problem that the communication is comparatively poor in quality under condition of battlefield environments, this paper proposes a clustering algorithm based on the weighted vehiclemounted Ad Hoc networks with the same mobile characteristics. First, the paper calculates the speed similarity and distance similarity of mobile nodes, groups the nodes with the same moving characteristics and close distances under condition of the same cluster, and sets the maximum threshold value of cluster members in each cluster. The paper calculates the speed factor, the distance factor, and the average link maintenance rate. These three factors for each mobile node are weighted in the clustering, and then the largest weight is selected as a primary cluster head, and the second largest weight is used as a secondary cluster. If the primary cluster head once is failure, the secondary cluster head can play a role in the primary cluster head, and the primary cluster head allocates TDMA time slots to each member, improving the communication quality. The simulation results show that compared with the WCA algorithm and the WBACA algorithm, the clustering algorithm greatly improves the stability of the cluster structure and the packet delivery rate.

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李雪,南建国.基于加权的具有相同移动特性的车载自组网分簇算法[J].空军工程大学学报,2020,21(4):55-60

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  • 在线发布日期: 2020-09-03
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