{"title":"距离边缘监测装置的容错性","authors":"Chenxu Yang, Yaping Mao, Ralf Klasing, Gang Yang, Yuzhi Xiao, Xiaoyan Zhang","doi":"10.1007/s00236-024-00476-6","DOIUrl":null,"url":null,"abstract":"<div><p>Let <i>G</i> be a connected graph. For an edge <span>\\(e=xy \\in E(G)\\)</span>, <i>e</i> is monitored by a vertex <i>v</i> if <span>\\(d_G(v, y)\\ne d_{G-e}(v, y)\\)</span> or <span>\\(d_G(v, x)\\ne d_{G-e}(v, x)\\)</span>. A set <i>M</i> of vertices of a graph <i>G</i> is distance-edge-monitoring (DEM for short) set if every edge <i>e</i> of <i>G</i> is monitored by some vertex of <i>M</i>. A DEM set <i>X</i> for a graph <i>G</i> is called fault-tolerant DEM set if <span>\\(X\\setminus \\{v\\}\\)</span> is also DEM set for each <i>v</i> in <i>X</i>. Denote <span>\\(\\operatorname {dem}(G)\\)</span> and <span>\\(\\operatorname {Fdem}(G)\\)</span> the smallest size of DEM set and fault-tolerant DEM sets, respectively. In this paper, we first study the relation between <span>\\(\\operatorname {Fdem}(G)\\)</span> and <span>\\(\\operatorname {dem}(G)\\)</span> for a graph <i>G</i>. Next, we show that <span>\\(2 \\le \\operatorname {Fdem}(G) \\le n\\)</span> for any graph <i>G</i> with order <i>n</i>. Furthermore, the extremal graphs attaining lower and upper bounds are characterized. In the end, the exact values for some networks are given. Furthermore, it is shown that for <span>\\(2\\le s<t\\le n\\)</span>, there exists a graph <i>G</i> of order <i>n</i> such that <span>\\(\\operatorname {dem}(G)=s\\)</span> and <span>\\(\\operatorname {Fdem}(G)=t\\)</span>.</p></div>","PeriodicalId":7189,"journal":{"name":"Acta Informatica","volume":"62 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault-tolerance in distance-edge-monitoring sets\",\"authors\":\"Chenxu Yang, Yaping Mao, Ralf Klasing, Gang Yang, Yuzhi Xiao, Xiaoyan Zhang\",\"doi\":\"10.1007/s00236-024-00476-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Let <i>G</i> be a connected graph. For an edge <span>\\\\(e=xy \\\\in E(G)\\\\)</span>, <i>e</i> is monitored by a vertex <i>v</i> if <span>\\\\(d_G(v, y)\\\\ne d_{G-e}(v, y)\\\\)</span> or <span>\\\\(d_G(v, x)\\\\ne d_{G-e}(v, x)\\\\)</span>. A set <i>M</i> of vertices of a graph <i>G</i> is distance-edge-monitoring (DEM for short) set if every edge <i>e</i> of <i>G</i> is monitored by some vertex of <i>M</i>. A DEM set <i>X</i> for a graph <i>G</i> is called fault-tolerant DEM set if <span>\\\\(X\\\\setminus \\\\{v\\\\}\\\\)</span> is also DEM set for each <i>v</i> in <i>X</i>. Denote <span>\\\\(\\\\operatorname {dem}(G)\\\\)</span> and <span>\\\\(\\\\operatorname {Fdem}(G)\\\\)</span> the smallest size of DEM set and fault-tolerant DEM sets, respectively. In this paper, we first study the relation between <span>\\\\(\\\\operatorname {Fdem}(G)\\\\)</span> and <span>\\\\(\\\\operatorname {dem}(G)\\\\)</span> for a graph <i>G</i>. Next, we show that <span>\\\\(2 \\\\le \\\\operatorname {Fdem}(G) \\\\le n\\\\)</span> for any graph <i>G</i> with order <i>n</i>. Furthermore, the extremal graphs attaining lower and upper bounds are characterized. In the end, the exact values for some networks are given. Furthermore, it is shown that for <span>\\\\(2\\\\le s<t\\\\le n\\\\)</span>, there exists a graph <i>G</i> of order <i>n</i> such that <span>\\\\(\\\\operatorname {dem}(G)=s\\\\)</span> and <span>\\\\(\\\\operatorname {Fdem}(G)=t\\\\)</span>.</p></div>\",\"PeriodicalId\":7189,\"journal\":{\"name\":\"Acta Informatica\",\"volume\":\"62 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2024-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Informatica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00236-024-00476-6\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Informatica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00236-024-00476-6","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Let G be a connected graph. For an edge \(e=xy \in E(G)\), e is monitored by a vertex v if \(d_G(v, y)\ne d_{G-e}(v, y)\) or \(d_G(v, x)\ne d_{G-e}(v, x)\). A set M of vertices of a graph G is distance-edge-monitoring (DEM for short) set if every edge e of G is monitored by some vertex of M. A DEM set X for a graph G is called fault-tolerant DEM set if \(X\setminus \{v\}\) is also DEM set for each v in X. Denote \(\operatorname {dem}(G)\) and \(\operatorname {Fdem}(G)\) the smallest size of DEM set and fault-tolerant DEM sets, respectively. In this paper, we first study the relation between \(\operatorname {Fdem}(G)\) and \(\operatorname {dem}(G)\) for a graph G. Next, we show that \(2 \le \operatorname {Fdem}(G) \le n\) for any graph G with order n. Furthermore, the extremal graphs attaining lower and upper bounds are characterized. In the end, the exact values for some networks are given. Furthermore, it is shown that for \(2\le s<t\le n\), there exists a graph G of order n such that \(\operatorname {dem}(G)=s\) and \(\operatorname {Fdem}(G)=t\).
期刊介绍:
Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics.
Topics of interest include:
• semantics of programming languages
• models and modeling languages for concurrent, distributed, reactive and mobile systems
• models and modeling languages for timed, hybrid and probabilistic systems
• specification, program analysis and verification
• model checking and theorem proving
• modal, temporal, first- and higher-order logics, and their variants
• constraint logic, SAT/SMT-solving techniques
• theoretical aspects of databases, semi-structured data and finite model theory
• theoretical aspects of artificial intelligence, knowledge representation, description logic
• automata theory, formal languages, term and graph rewriting
• game-based models, synthesis
• type theory, typed calculi
• algebraic, coalgebraic and categorical methods
• formal aspects of performance, dependability and reliability analysis
• foundations of information and network security
• parallel, distributed and randomized algorithms
• design and analysis of algorithms
• foundations of network and communication protocols.