网络中度约束下最大概率路径的路由算法

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
Yinhui Liu, Shurong Zhang, Lin Chen, Kan He, Weihua Yang
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引用次数: 0

摘要

在信息技术飞速发展的推动下,人们对网络进行了广泛的研究,高效的路由设计显得尤为重要和有价值。由于网络中的数据传输主要以建立通信为基础,因此需要考虑链路的不稳定性和节点的容量。受此启发,考虑度约束下的路由优化问题,提出了网络中从单个源节点到所有其他节点的最大概率路径设计问题。然后利用双向优化、概率优先策略、选择度数最大的节点和深度限制等技术方法,提出了5种多项式时间算法。仿真和对比分析表明,该算法在实际应用中具有明显的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The routing algorithms for maximum probability paths under degree constraints in networks
ABSTRACT Driven by the rapid development of information technology, the network has been researched extensively and the efficient routing design has become particularly important and valuable. Since the data transmission in networks is mainly based on the establishment of communication, the instability of links and the capacity of nodes should be considered. Motivated by this, considering the routing optimization under the degree constraints, we formulate the problem of designing paths with maximum probability in the network from a single source node to all other nodes. Then we propose five polynomial-time algorithms for this problem by using the technical methods of bidirectional optimization, probability first strategy, the selection of the node with the maximum number of degrees and the restriction of the depth. In addition, the simulations and comparative analysis show that the algorithms have obvious advantages in practice.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
27
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