Xiang Wang, Zhiying Tang, Qingyang Liu, Kang Wang, Meiming Fu
{"title":"Minimum Delay Allocation Strategy for Distribution Internet of Things","authors":"Xiang Wang, Zhiying Tang, Qingyang Liu, Kang Wang, Meiming Fu","doi":"10.1109/icicn52636.2021.9673893","DOIUrl":null,"url":null,"abstract":"Accelerated by the concept of the prominent Internet of things, various power line systems are envisioned to be integrated into wireless communication networks to enhance the quality of service of ubiquitous users. In order to improve the delay performance of these integrated networks, intensive computation tasks can be partly offloaded to the network edge and processed by edge devices. In this paper, we model a collaborated cloud and edge network consists of power line systems and wireless communications, considering the terrible transmission environment of offloading devices. Under the hierarchical offloading strategy proposed in this work, a joint delay optimization problem is formulated and solved with the constraints of network computation capability. Finally, numerical results demonstrate that the proposed scheme shows superiority to other benchmark schemes as regards to minimizing the delay of the end equipments.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicn52636.2021.9673893","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
Accelerated by the concept of the prominent Internet of things, various power line systems are envisioned to be integrated into wireless communication networks to enhance the quality of service of ubiquitous users. In order to improve the delay performance of these integrated networks, intensive computation tasks can be partly offloaded to the network edge and processed by edge devices. In this paper, we model a collaborated cloud and edge network consists of power line systems and wireless communications, considering the terrible transmission environment of offloading devices. Under the hierarchical offloading strategy proposed in this work, a joint delay optimization problem is formulated and solved with the constraints of network computation capability. Finally, numerical results demonstrate that the proposed scheme shows superiority to other benchmark schemes as regards to minimizing the delay of the end equipments.