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A novel minimum delay maximum flow multicast algorithm to construct a multicast tree in wireless mesh networks

机译:无线网状网络中构造组播树的最小延迟最大流组播算法

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The construction of multicast tree within given constraints, such as delay and capacity, is becoming a major problem in many wireless networks, especially wireless mesh networks (WMN). Due to the limited capacity of the wireless node, a multicast call may be dropped if there is no multicast tree formed within the given constraints. In this paper, we propose a new multicast tree construction algorithm which has maximum traffic flow and minimum delay under capacity constraints. The problem of multicast is formulated as a Linear Programming (LP) problem with associated constraints. A cost function (CF) is defined to choose the less loaded route among the available ones. A Minimum Delay Maximum Flow Multicast (MDMF) algorithm is proposed to solve this problem using CF and associated constraints. The performance of the proposed algorithm and CF is evaluated and compared with well-known algorithms with respect to packet delivery fraction, latency, and network throughput. The results obtained show that the proposed algorithm has a lesser number of transmissions for a given CF. Moreover, the proposed algorithm has high throughput, packet delivery fraction and less latency compared to other well-known algorithms in this category.
机译:在诸如延迟和容量之类的给定约束下构造多播树正在成为许多无线网络,特别是无线网状网络(WMN)中的主要问题。由于无线节点的容量有限,如果在给定的约束范围内没有形成多播树,则可能会丢弃多播呼叫。在本文中,我们提出了一种新的组播树构造算法,该算法在容量约束下具有最大的流量和最小的延迟。多播问题被表述为具有相关约束的线性规划(LP)问题。定义了成本函数(CF),以在可用路径中选择负荷较小的路径。提出了一种最小时延最大流多播(MDMF)算法,以使用CF和相关约束来解决此问题。评估了所提出算法和CF的性能,并将其与公知算法的数据包传递比例,延迟和网络吞吐量进行了比较。获得的结果表明,对于给定的CF,该算法的传输次数较少。而且,与该类别中的其他众所周知的算法相比,所提出的算法具有高吞吐量,分组传送分数和更少的等待时间。

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