Optimisation for energy reduction of aerial backhauled networks based on cluster aggregation

Stanislas Francfort
{"title":"Optimisation for energy reduction of aerial backhauled networks based on cluster aggregation","authors":"Stanislas Francfort","doi":"10.1109/NETWKS.2016.7751161","DOIUrl":null,"url":null,"abstract":"We present a method to define a clustering of terminals connected to a backhauled network provided by aerial platforms, such as drones or balloons. Our novel optimization method optimizes the choice of clusters. We reduce the former energy consumption achieved by the state of the art. We manage to formulate this problem as an explicit linear optimization program. Thus, by decomposing the energy consumption into a constant and a variable part, we obtain an energy reduction of the variable part from 20% up to almost 50%, when compared with the best known method. We prove that we reach the best lower bound in term of energy consumption. Our method performs 10% to 90% of energy saving compared to an unclustered network.","PeriodicalId":239896,"journal":{"name":"2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NETWKS.2016.7751161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We present a method to define a clustering of terminals connected to a backhauled network provided by aerial platforms, such as drones or balloons. Our novel optimization method optimizes the choice of clusters. We reduce the former energy consumption achieved by the state of the art. We manage to formulate this problem as an explicit linear optimization program. Thus, by decomposing the energy consumption into a constant and a variable part, we obtain an energy reduction of the variable part from 20% up to almost 50%, when compared with the best known method. We prove that we reach the best lower bound in term of energy consumption. Our method performs 10% to 90% of energy saving compared to an unclustered network.
基于聚类聚合的空中回程网络降能优化
我们提出了一种方法来定义连接到空中平台(如无人机或气球)提供的回程网络的终端集群。我们的优化方法优化了聚类的选择。我们减少了以前最先进的能源消耗。我们设法将这个问题表述为一个显式的线性优化程序。因此,通过将能耗分解为常数部分和变量部分,与最知名的方法相比,我们可以将变量部分的能耗从20%降低到近50%。我们证明了我们达到了能耗的最佳下界。与非集群网络相比,我们的方法节省了10%到90%的能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书