{"title":"Fieldbus scheduling using Boltzmann machine","authors":"Usama M. AIi, Karim Al Jebory","doi":"10.1109/SSD.2010.5585548","DOIUrl":null,"url":null,"abstract":"A centralized access control in fieldbus systems is characterized by the presence of a processing unit acting as link active scheduler (LAS), whose task is to manage the bandwidth, distributing it among a1l the producing devices, and respecting their time constraints. The bandwidth is distributed on the basis of a scheduling table containing transmission instants for the information produced by different processes in the system such as to guarantee correct scheduling. This paper discusses the results of using Boltzmann machine neural networks (NNs) with reduced scheduling tables. The work is proposed to replace the existing systems in many remote contrastations connecting intelligent field devices.","PeriodicalId":432382,"journal":{"name":"2010 7th International Multi- Conference on Systems, Signals and Devices","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th International Multi- Conference on Systems, Signals and Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2010.5585548","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
A centralized access control in fieldbus systems is characterized by the presence of a processing unit acting as link active scheduler (LAS), whose task is to manage the bandwidth, distributing it among a1l the producing devices, and respecting their time constraints. The bandwidth is distributed on the basis of a scheduling table containing transmission instants for the information produced by different processes in the system such as to guarantee correct scheduling. This paper discusses the results of using Boltzmann machine neural networks (NNs) with reduced scheduling tables. The work is proposed to replace the existing systems in many remote contrastations connecting intelligent field devices.