Davide Borsatti;Gianluca Davoli;Federico Tonini;Walter Cerroni;Carla Raffaelli;Wint Yi Poe;Riccardo Trivisonno
{"title":"Hierarchical Management Algorithms for Highly Reliable Communication in 6G Industrial Environments","authors":"Davide Borsatti;Gianluca Davoli;Federico Tonini;Walter Cerroni;Carla Raffaelli;Wint Yi Poe;Riccardo Trivisonno","doi":"10.1109/LNET.2023.3321630","DOIUrl":null,"url":null,"abstract":"This letter explores the challenges of reliable communication in industrial applications, where human and robot collaboration requires highly reliable communication channels. We propose a hierarchical and distributed approach for solving the dynamic selection of resources. We assign distributed entities to portions of the managed working environment and investigate how to deal with users at their borders, proposing a mechanism to balance performance and resource efficiency. We support our analysis with numerical results obtained by simulation. By properly tuning the algorithm parameters, we can reduce energy consumption while satisfying the same reliability requirements.","PeriodicalId":100628,"journal":{"name":"IEEE Networking Letters","volume":"6 1","pages":"36-40"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Networking Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10269136/","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
This letter explores the challenges of reliable communication in industrial applications, where human and robot collaboration requires highly reliable communication channels. We propose a hierarchical and distributed approach for solving the dynamic selection of resources. We assign distributed entities to portions of the managed working environment and investigate how to deal with users at their borders, proposing a mechanism to balance performance and resource efficiency. We support our analysis with numerical results obtained by simulation. By properly tuning the algorithm parameters, we can reduce energy consumption while satisfying the same reliability requirements.