Zhuofan Liao, Jianxin Wang, Shigeng Zhang, Jiannong Cao
{"title":"WiMAX网状网络中基于团分区的中继放置","authors":"Zhuofan Liao, Jianxin Wang, Shigeng Zhang, Jiannong Cao","doi":"10.1109/GLOCOM.2012.6503503","DOIUrl":null,"url":null,"abstract":"In WiMAX mesh networks based on IEEE 802.16j, when transmission power of the base station (BS) and the number of radios and channels are settled, data rate at the subscriber (SS) is decided by the distance between the SS and its uplink relay station (RS). In this paper, we study the problem of deploying a minimum number of RSs to satisfy all SSs' distance requirements. Firstly, we translate it into a minimum clique partition problem, which is NP-complete. Based on SSs' neighbor information and location information, we then propose two heuristic algorithms based on clique partition, named as MAXDCP and GEOCP, respectively. Simulation results show that, compared with the state-of-the-art MIS and HS algorithms, MAXDCP uses 23.8% fewer relays than MIS with the same time complexity, and GEOCP uses 35% fewer relays than MIS in the same time and 18.5% fewer relays than HS in much less time.","PeriodicalId":72021,"journal":{"name":"... IEEE Global Communications Conference. IEEE Global Communications Conference","volume":"107 1","pages":"2566-2571"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Clique partition based relay placement in WiMAX mesh networks\",\"authors\":\"Zhuofan Liao, Jianxin Wang, Shigeng Zhang, Jiannong Cao\",\"doi\":\"10.1109/GLOCOM.2012.6503503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In WiMAX mesh networks based on IEEE 802.16j, when transmission power of the base station (BS) and the number of radios and channels are settled, data rate at the subscriber (SS) is decided by the distance between the SS and its uplink relay station (RS). In this paper, we study the problem of deploying a minimum number of RSs to satisfy all SSs' distance requirements. Firstly, we translate it into a minimum clique partition problem, which is NP-complete. Based on SSs' neighbor information and location information, we then propose two heuristic algorithms based on clique partition, named as MAXDCP and GEOCP, respectively. Simulation results show that, compared with the state-of-the-art MIS and HS algorithms, MAXDCP uses 23.8% fewer relays than MIS with the same time complexity, and GEOCP uses 35% fewer relays than MIS in the same time and 18.5% fewer relays than HS in much less time.\",\"PeriodicalId\":72021,\"journal\":{\"name\":\"... IEEE Global Communications Conference. IEEE Global Communications Conference\",\"volume\":\"107 1\",\"pages\":\"2566-2571\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"... IEEE Global Communications Conference. IEEE Global Communications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOM.2012.6503503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"... IEEE Global Communications Conference. IEEE Global Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2012.6503503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clique partition based relay placement in WiMAX mesh networks
In WiMAX mesh networks based on IEEE 802.16j, when transmission power of the base station (BS) and the number of radios and channels are settled, data rate at the subscriber (SS) is decided by the distance between the SS and its uplink relay station (RS). In this paper, we study the problem of deploying a minimum number of RSs to satisfy all SSs' distance requirements. Firstly, we translate it into a minimum clique partition problem, which is NP-complete. Based on SSs' neighbor information and location information, we then propose two heuristic algorithms based on clique partition, named as MAXDCP and GEOCP, respectively. Simulation results show that, compared with the state-of-the-art MIS and HS algorithms, MAXDCP uses 23.8% fewer relays than MIS with the same time complexity, and GEOCP uses 35% fewer relays than MIS in the same time and 18.5% fewer relays than HS in much less time.