利用距离监控产品网络的边缘

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-11-13 DOI:10.1016/j.jcss.2024.103602
Wen Li , Ralf Klasing , Yaping Mao , Bo Ning
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引用次数: 0

摘要

Foucaud 等人最近在网络监控领域提出并开始研究一个新的图论概念。假设 G 是一个具有顶点集 V(G) 和边集 E(G) 的图。对于 V(G) 中的任意子集 M 和 E(G) 中的边 e,设 P(M,e) 是一对 (x,y) 的集合,使得 dG(x,y)≠dG-e(x,y) 其中 x∈M 和 y∈V(G) 。如果 G 的每一条边 e 都受到 M 的某个顶点的监控,即集合 P(M,e) 非空,则 M 称为距离边监控集。对于阶数分别为 m,n 的两个图 G、H,本文证明了 max{mdem(H),ndem(G)}≤dem(G□H)≤mdem(H)+ndem(G)-dem(G)dem(H) ,其中 □ 是笛卡尔乘积运算。此外,我们还描述了达到上界和下界的网络的特征,并展示了它们在一些已知网络中的应用。我们还得到了 join、corona、cluster 和一些特定网络的距离边监控数。
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Monitoring the edges of product networks using distances
Foucaud et al. recently introduced and initiated the study of a new graph-theoretic concept in the area of network monitoring. Let G be a graph with vertex set V(G) and edge set E(G). For any subset M in V(G) and an edge e in E(G), let P(M,e) be the set of pairs (x,y) such that dG(x,y)dGe(x,y) where xM and yV(G). M is called a distance-edge-monitoring set if every edge e of G is monitored by some vertex of M, that is, the set P(M,e) is nonempty. The distance-edge-monitoring number of G, denoted by dem(G), is defined as the smallest size of distance-edge-monitoring sets of G. For two graphs G,H of order m,n, respectively, in this paper, we prove that max{mdem(H),ndem(G)}dem(GH)mdem(H)+ndem(G)dem(G)dem(H), where □ is the Cartesian product operation. Moreover, we characterize the networks attaining the upper and lower bounds and show their applications on some known networks. We also obtain the distance-edge-monitoring numbers of join, corona, cluster, and some specific networks.
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
期刊最新文献
Time-sharing scheduling with tolerance capacities Embedding hypercubes into torus and Cartesian product of paths and/or cycles for minimizing wirelength The parameterized complexity of the survivable network design problem Monitoring the edges of product networks using distances Algorithms and Turing kernels for detecting and counting small patterns in unit disk graphs
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