O. Aichholzer, T. Hackl, Matias Korman, Alexander Pilz, G. Rote, André van Renssen, Marcel Roeloffzen, B. Vogtenhuber
{"title":"Packing Short Plane Spanning Trees in Complete Geometric Graphs","authors":"O. Aichholzer, T. Hackl, Matias Korman, Alexander Pilz, G. Rote, André van Renssen, Marcel Roeloffzen, B. Vogtenhuber","doi":"10.4230/LIPIcs.ISAAC.2016.9","DOIUrl":null,"url":null,"abstract":"Given a set of points in the plane, we want to establish a connection network between these points that consists of several disjoint layers. Motivated by sensor networks, we want that each layer is spanning and plane, and that no edge is very long (when compared to the minimum length needed to obtain a spanning graph). We consider two different approaches: first we show an almost optimal centralized approach to extract two trees. Then we show a constant factor approximation for a distributed model in which each point can compute its adjacencies using only local information. This second approach may create cycles, but maintains planarity.","PeriodicalId":11245,"journal":{"name":"Discret. Comput. Geom.","volume":"14 1","pages":"1-15"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discret. Comput. Geom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/LIPIcs.ISAAC.2016.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Given a set of points in the plane, we want to establish a connection network between these points that consists of several disjoint layers. Motivated by sensor networks, we want that each layer is spanning and plane, and that no edge is very long (when compared to the minimum length needed to obtain a spanning graph). We consider two different approaches: first we show an almost optimal centralized approach to extract two trees. Then we show a constant factor approximation for a distributed model in which each point can compute its adjacencies using only local information. This second approach may create cycles, but maintains planarity.