{"title":"Communication and localization networks in swarm-intelligent systems","authors":"M. Angermann, W. Truszkowski","doi":"10.1109/RWS.2008.4463605","DOIUrl":null,"url":null,"abstract":"This paper discusses the role of communication and localization as enabling technologies of swarm-intelligent systems. In this work swarm-intelligence is understood as an evolving capability of decentralized, self-organized systems whose elements are collectively able to coordinate and synchronize their actions towards fulfilling a common goal. In order to share their observations of the environment, processing results or internal states, a swarm's elements form a dynamic communication network. Additionally, the swarm elements form a second network, consisting of measurements for determining their relative positions. The paper discusses the fundamental differences between these two networks and illustrates the applicability of the swarm-intelligence perspective in several application fields.","PeriodicalId":431471,"journal":{"name":"2008 IEEE Radio and Wireless Symposium","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Radio and Wireless Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2008.4463605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper discusses the role of communication and localization as enabling technologies of swarm-intelligent systems. In this work swarm-intelligence is understood as an evolving capability of decentralized, self-organized systems whose elements are collectively able to coordinate and synchronize their actions towards fulfilling a common goal. In order to share their observations of the environment, processing results or internal states, a swarm's elements form a dynamic communication network. Additionally, the swarm elements form a second network, consisting of measurements for determining their relative positions. The paper discusses the fundamental differences between these two networks and illustrates the applicability of the swarm-intelligence perspective in several application fields.