{"title":"Energy-efficient multicasting in wireless ad-hoc networks: An ant colony optimization approach","authors":"H. Hernández, C. Blum","doi":"10.1109/ISWCS.2008.4726140","DOIUrl":null,"url":null,"abstract":"In wireless ad-hoc networks, where nodes are often equipped with batteries, energy is a scarce resource. Therefore, power consumption of network operations is critical and subject to optimization. One of the fundamental problems in ad-hoc networks is multicasting. In this work we consider the so-called minimum energy multicast (MEM) problem, which can be stated as a combinatorial optimization problem. We develop an ant colony optimization metaheuristic for networks with omni-directional and directional antennas. The results show that our algorithm consistently outperforms existing techniques.","PeriodicalId":158650,"journal":{"name":"2008 IEEE International Symposium on Wireless Communication Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2008.4726140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In wireless ad-hoc networks, where nodes are often equipped with batteries, energy is a scarce resource. Therefore, power consumption of network operations is critical and subject to optimization. One of the fundamental problems in ad-hoc networks is multicasting. In this work we consider the so-called minimum energy multicast (MEM) problem, which can be stated as a combinatorial optimization problem. We develop an ant colony optimization metaheuristic for networks with omni-directional and directional antennas. The results show that our algorithm consistently outperforms existing techniques.