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Using of clustering algorithm CWSP-PAM for rural network planning

机译:使用聚类算法CWSP-PAM用于农村网络规划

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Network planning is of key importance during the construction of new communities and cities, in which telephone and data services have to be introduced as a component of the overall master plan of the city. The system accepts the map of a city in the form of its streets and intersection nodes coordinates, the specifications of the available cable sizes, and the cost information for the cables. The system determines the minimum cost network that satisfies the demand and constraints. The problem is treated as a clustering around medoids problem where the distances are represented by weighted shortest paths. In this paper, the partitioning around medoids (PAM) original algorithm have been modified. Results demonstrate the effectiveness and flexibility of the modifying algorithm in tackling the important problem of rural network planning. Comparisons with related work are presented showing the advantages of the CWSP-PAM (Clustering with Shortest Path-PAM) algorithm introduced in this paper.
机译:网络规划在建设新社区和城市的建设期间是重要的重要性,其中必须作为城市整体总体计划的组成部分引入电话和数据服务。该系统接受其街道和交叉节点的形式的城市的地图,可用电缆尺寸的规格以及电缆的成本信息。系统确定满足需求和约束的最小成本网络。问题被视为围绕距离由加权最短路径表示的距离问题的聚类。在本文中,已经修改了麦细管(PAM)原始算法周围的分区。结果展示了修改算法在解决农村网络规划重要问题时的有效性和灵活性。提出了具有相关工作的比较,显示了本文介绍的CWSP-PAM(群集与最短路径-PAM)算法的优势。

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