{"title":"面向网络物理系统群的节点聚类算法","authors":"Christos Sad, K. Siozios","doi":"10.1109/mocast54814.2022.9837579","DOIUrl":null,"url":null,"abstract":"The increased number of nodes found in next-generation systems, such as the swarm of CyberPhysical nodes, impose new challenges related to their organization. Throughout this paper a novel algorithm aiming to address this problem, is introduced. The proposed solution relies on a public-available genetic algorithm. Experimental results highlight the superiority of introduced solution, as it achieves superior performance as compared to well-established relevant algorithms.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An algorithm for node clustering targeting swarm of cyberphysical systems\",\"authors\":\"Christos Sad, K. Siozios\",\"doi\":\"10.1109/mocast54814.2022.9837579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increased number of nodes found in next-generation systems, such as the swarm of CyberPhysical nodes, impose new challenges related to their organization. Throughout this paper a novel algorithm aiming to address this problem, is introduced. The proposed solution relies on a public-available genetic algorithm. Experimental results highlight the superiority of introduced solution, as it achieves superior performance as compared to well-established relevant algorithms.\",\"PeriodicalId\":122414,\"journal\":{\"name\":\"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/mocast54814.2022.9837579\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mocast54814.2022.9837579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm for node clustering targeting swarm of cyberphysical systems
The increased number of nodes found in next-generation systems, such as the swarm of CyberPhysical nodes, impose new challenges related to their organization. Throughout this paper a novel algorithm aiming to address this problem, is introduced. The proposed solution relies on a public-available genetic algorithm. Experimental results highlight the superiority of introduced solution, as it achieves superior performance as compared to well-established relevant algorithms.