{"title":"一种高效的启发式qos驱动组播树生成算法","authors":"M. R. Kabat, S. K. Mohanty, R. Mall, C. Tripathy","doi":"10.1109/ADCOM.2006.4289926","DOIUrl":null,"url":null,"abstract":"Many multimedia communication applications require a source to transmit messages to multiple destinations subject to quality of service (QoS) delay constraint. The problem to be solved is to find a minimum cost multicast tree where each source to destination path is constrained by a delay bound. This problem has been proven to be NP-complete. In this paper, we present a more efficient heuristic algorithm, namely, cost sensitive delay constrained multicast (CSDCM) algorithm, based on a novel heuristic function, to construct a minimum cost delay bounded multicast tree. A noteworthy feature of this algorithm is that it has very high probability of finding the optimal solution in polynomial time with low computational complexity.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Heuristic Algorithm for QoS-Driven Multicast Tree Generation\",\"authors\":\"M. R. Kabat, S. K. Mohanty, R. Mall, C. Tripathy\",\"doi\":\"10.1109/ADCOM.2006.4289926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many multimedia communication applications require a source to transmit messages to multiple destinations subject to quality of service (QoS) delay constraint. The problem to be solved is to find a minimum cost multicast tree where each source to destination path is constrained by a delay bound. This problem has been proven to be NP-complete. In this paper, we present a more efficient heuristic algorithm, namely, cost sensitive delay constrained multicast (CSDCM) algorithm, based on a novel heuristic function, to construct a minimum cost delay bounded multicast tree. A noteworthy feature of this algorithm is that it has very high probability of finding the optimal solution in polynomial time with low computational complexity.\",\"PeriodicalId\":296627,\"journal\":{\"name\":\"2006 International Conference on Advanced Computing and Communications\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Advanced Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ADCOM.2006.4289926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Advanced Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADCOM.2006.4289926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Heuristic Algorithm for QoS-Driven Multicast Tree Generation
Many multimedia communication applications require a source to transmit messages to multiple destinations subject to quality of service (QoS) delay constraint. The problem to be solved is to find a minimum cost multicast tree where each source to destination path is constrained by a delay bound. This problem has been proven to be NP-complete. In this paper, we present a more efficient heuristic algorithm, namely, cost sensitive delay constrained multicast (CSDCM) algorithm, based on a novel heuristic function, to construct a minimum cost delay bounded multicast tree. A noteworthy feature of this algorithm is that it has very high probability of finding the optimal solution in polynomial time with low computational complexity.