{"title":"覆盖1.5D地形由共同高度塔","authors":"L. Gewali, Binay Dahal","doi":"10.1109/ICSENG.2018.8638174","DOIUrl":null,"url":null,"abstract":"Finding the minimum number of towers to cover a 1.5D terrain is an intractable problem. We propose an easily implementable approximation algorithm for covering a 1.5D terrain by towers of given common height. We describe a technique of identifying potential input points where tower bases can be installed. We show how a small subset of these placement points can be computed so that towers placed on such points can cover the entire terrain.","PeriodicalId":356324,"journal":{"name":"2018 26th International Conference on Systems Engineering (ICSEng)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Covering 1.5D Terrain by Common Height Towers\",\"authors\":\"L. Gewali, Binay Dahal\",\"doi\":\"10.1109/ICSENG.2018.8638174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Finding the minimum number of towers to cover a 1.5D terrain is an intractable problem. We propose an easily implementable approximation algorithm for covering a 1.5D terrain by towers of given common height. We describe a technique of identifying potential input points where tower bases can be installed. We show how a small subset of these placement points can be computed so that towers placed on such points can cover the entire terrain.\",\"PeriodicalId\":356324,\"journal\":{\"name\":\"2018 26th International Conference on Systems Engineering (ICSEng)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 26th International Conference on Systems Engineering (ICSEng)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENG.2018.8638174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Systems Engineering (ICSEng)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENG.2018.8638174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finding the minimum number of towers to cover a 1.5D terrain is an intractable problem. We propose an easily implementable approximation algorithm for covering a 1.5D terrain by towers of given common height. We describe a technique of identifying potential input points where tower bases can be installed. We show how a small subset of these placement points can be computed so that towers placed on such points can cover the entire terrain.