{"title":"带物理干扰模型的链路调度贪心算法","authors":"Dejun Yang, Xi Fang, Nan Li, G. Xue","doi":"10.1109/GLOCOM.2009.5425262","DOIUrl":null,"url":null,"abstract":"In wireless networks, mutual interference prevents wireless devices from correctly receiving packages from others and becomes one of the challenges in the design of protocols for wireless networks. Spatial-reuse Time Division Multiple Access (STDMA) has been used to cope with this problem. In this scheme, links are assigned to several time slots and in each slot all the links can transmit simultaneously. In this paper, we propose a greedy link scheduling algorithm to find a short schedule for a problem instance in the physical interference model. Our scheduling algorithm is inspired by the k-MAX-CUT algorithm in [13]. Experimental results show that our greedy algorithm can give a better schedule compared with the greedy algorithm in [3], with an improvement about 20%-30% when the density of links is high.","PeriodicalId":405624,"journal":{"name":"GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A Simple Greedy Algorithm for Link Scheduling with the Physical Interference Model\",\"authors\":\"Dejun Yang, Xi Fang, Nan Li, G. Xue\",\"doi\":\"10.1109/GLOCOM.2009.5425262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In wireless networks, mutual interference prevents wireless devices from correctly receiving packages from others and becomes one of the challenges in the design of protocols for wireless networks. Spatial-reuse Time Division Multiple Access (STDMA) has been used to cope with this problem. In this scheme, links are assigned to several time slots and in each slot all the links can transmit simultaneously. In this paper, we propose a greedy link scheduling algorithm to find a short schedule for a problem instance in the physical interference model. Our scheduling algorithm is inspired by the k-MAX-CUT algorithm in [13]. Experimental results show that our greedy algorithm can give a better schedule compared with the greedy algorithm in [3], with an improvement about 20%-30% when the density of links is high.\",\"PeriodicalId\":405624,\"journal\":{\"name\":\"GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOM.2009.5425262\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2009.5425262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Simple Greedy Algorithm for Link Scheduling with the Physical Interference Model
In wireless networks, mutual interference prevents wireless devices from correctly receiving packages from others and becomes one of the challenges in the design of protocols for wireless networks. Spatial-reuse Time Division Multiple Access (STDMA) has been used to cope with this problem. In this scheme, links are assigned to several time slots and in each slot all the links can transmit simultaneously. In this paper, we propose a greedy link scheduling algorithm to find a short schedule for a problem instance in the physical interference model. Our scheduling algorithm is inspired by the k-MAX-CUT algorithm in [13]. Experimental results show that our greedy algorithm can give a better schedule compared with the greedy algorithm in [3], with an improvement about 20%-30% when the density of links is high.