{"title":"CONGEST模型中的确定性分布支配集近似","authors":"Janosch Deurer, F. Kuhn, Yannic Maus","doi":"10.1145/3293611.3331626","DOIUrl":null,"url":null,"abstract":"We develop deterministic approximation algorithms for the minimum dominating set problem in the CONGEST model with an almost optimal approximation guarantee. For ε 1/ poly log Δ we obtain two algorithms with approximation factor (1 + ε)(1 + ł n (Δ + 1)) and with runtimes 2O(√ log n log log n) and O(Δ poly log Δ + poly log Δ log* n), respectively. Further we show how dominating set approximations can be deterministically transformed into a connected dominating set in the CONGEST model while only increasing the approximation guarantee by a constant factor. This results in a deterministic O(log Δ)-approximation algorithm for the minimum connected dominating set with time complexity 2O(√ log n log log n).","PeriodicalId":153766,"journal":{"name":"Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Deterministic Distributed Dominating Set Approximation in the CONGEST Model\",\"authors\":\"Janosch Deurer, F. Kuhn, Yannic Maus\",\"doi\":\"10.1145/3293611.3331626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop deterministic approximation algorithms for the minimum dominating set problem in the CONGEST model with an almost optimal approximation guarantee. For ε 1/ poly log Δ we obtain two algorithms with approximation factor (1 + ε)(1 + ł n (Δ + 1)) and with runtimes 2O(√ log n log log n) and O(Δ poly log Δ + poly log Δ log* n), respectively. Further we show how dominating set approximations can be deterministically transformed into a connected dominating set in the CONGEST model while only increasing the approximation guarantee by a constant factor. This results in a deterministic O(log Δ)-approximation algorithm for the minimum connected dominating set with time complexity 2O(√ log n log log n).\",\"PeriodicalId\":153766,\"journal\":{\"name\":\"Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3293611.3331626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3293611.3331626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deterministic Distributed Dominating Set Approximation in the CONGEST Model
We develop deterministic approximation algorithms for the minimum dominating set problem in the CONGEST model with an almost optimal approximation guarantee. For ε 1/ poly log Δ we obtain two algorithms with approximation factor (1 + ε)(1 + ł n (Δ + 1)) and with runtimes 2O(√ log n log log n) and O(Δ poly log Δ + poly log Δ log* n), respectively. Further we show how dominating set approximations can be deterministically transformed into a connected dominating set in the CONGEST model while only increasing the approximation guarantee by a constant factor. This results in a deterministic O(log Δ)-approximation algorithm for the minimum connected dominating set with time complexity 2O(√ log n log log n).