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Heuristic Algorithms for Building Subscriber Lines in Telecommunication Networks

机译:电信网络中建立用户线的启发式算法

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We study the problem of building subscriber lines with minimal length of duct in telecommunication networks. For, designing physical distribution system or integrated circuit, this problem is known as the k-Minimum Spanning Tree or k-MST problem and it has been widely studied before. In this paper, we demonstrate that for building subscriber lines, general k-MST algorithms does not offer the suitable computing time, because they are based on greedy algorithm and there are many factors to calculate. Thus, we reformulate the problem in terms of minimizing the computing time, rather than the length of duct. We propose heuristic algorithms to compute good approximations for subscriber lines. Our simulation results show that the proposed heuristic algorithms offer affordable computing time compared with general k-MST algorithms without compromising over the length of duct.
机译:我们研究了在电信网络中最小的管道制备用户线的问题。对于设计物理分配系统或集成电路,该问题被称为K-最小生成树或K-MST问题,并以前广泛研究。在本文中,我们证明,对于建筑用户线来说,一般K-MST算法不提供适当的计算时间,因为它们基于贪婪算法,并且有许多因素计算。因此,我们根据最小化计算时间而不是导管的长度来重构问题。我们提出了启发式算法来计算用户线的良好近似。我们的仿真结果表明,与通用K-MST算法相比,该拟议的启发式算法提供了经济实惠的计算时间,而不会影响管道长度。

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