{"title":"A further study on weak Byzantine gathering of mobile agents","authors":"Ashish Saxena, Kaushik Mondal","doi":"10.1016/j.tcs.2024.114892","DOIUrl":null,"url":null,"abstract":"<div><div>The gathering of mobile agents in the presence of Byzantine faults is first studied by Dieudonné et al. Authors provide a polynomial time algorithm handling any number of weak Byzantine agents in the presence of at least one good agent considering start-up delays, i.e., the good agents may not wake up at the same time. Hirose et al. <span><span>[1]</span></span> come up with an algorithm considering start-up delays that use a strong team of at least <span><math><mn>4</mn><msup><mrow><mi>f</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>+</mo><mn>8</mn><mi>f</mi><mo>+</mo><mn>4</mn></math></span> many good agents but runs much faster than that of Dieudonné et al. Later, Hirose et al. <span><span>[2]</span></span> provided another polynomial time algorithm for gathering in the presence of at least <span><math><mn>7</mn><mi>f</mi><mo>+</mo><mn>7</mn></math></span> good agents. This algorithm works considering start-up delay and achieves simultaneous termination. However, this algorithm depends on the length of the largest ID in the system. We, in this work, provide an algorithm considering start-up delays of the good agents, reducing the number of good agents w.r.t. <span><span>[1]</span></span> to <span><math><msup><mrow><mi>f</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>+</mo><mn>4</mn><mi>f</mi><mo>+</mo><mn>9</mn></math></span>, and good agents achieve simultaneous termination. Our algorithm runs faster than <span><span>[2]</span></span> when the ID range of the good agents is significantly smaller in comparison to the ID range of all the agents. We also provide a much faster <span><math><mi>O</mi><mo>(</mo><msup><mrow><mi>n</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>)</mo></math></span> time algorithm for trees using <span><math><mn>3</mn><mi>f</mi><mo>+</mo><mn>2</mn></math></span> agents handling start-up delays and guaranteeing simultaneous termination on a restricted ID range.</div></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1022 ","pages":"Article 114892"},"PeriodicalIF":0.9000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397524005097","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The gathering of mobile agents in the presence of Byzantine faults is first studied by Dieudonné et al. Authors provide a polynomial time algorithm handling any number of weak Byzantine agents in the presence of at least one good agent considering start-up delays, i.e., the good agents may not wake up at the same time. Hirose et al. [1] come up with an algorithm considering start-up delays that use a strong team of at least many good agents but runs much faster than that of Dieudonné et al. Later, Hirose et al. [2] provided another polynomial time algorithm for gathering in the presence of at least good agents. This algorithm works considering start-up delay and achieves simultaneous termination. However, this algorithm depends on the length of the largest ID in the system. We, in this work, provide an algorithm considering start-up delays of the good agents, reducing the number of good agents w.r.t. [1] to , and good agents achieve simultaneous termination. Our algorithm runs faster than [2] when the ID range of the good agents is significantly smaller in comparison to the ID range of all the agents. We also provide a much faster time algorithm for trees using agents handling start-up delays and guaranteeing simultaneous termination on a restricted ID range.
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.