Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus

Clicks: 399
ID: 89811
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #1 of 4 articles by views in iet cyber-physical systems

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Energy Internet (EI) is a revolution of power systems due to its flexible energy control. The smart meters are the key components in EI which perform real-time monitoring and require high demands on quality of services (QoSs). Besides, due to the great performance on resolving device-interconnecting and realising overall network control, software-defined networks (SDNs) are considered as a trend for future EI. However, most existing software-defined EI have all the data processed at SDN controller which makes it difficult to realise fine-grained and deep edge computation and control. Meanwhile, most existing QoS provisioning cannot provide satisfying service for EI because various metering data from smart meters require different time-variant QoS guarantees. To address above challenges, the authors propose a software-defined dynamic QoS provisioning for smart metering in EI using fog computing and network calculus (NC). First, a software-defined EI architecture, where fogs are deployed on smart meters and base stations to realise edge services, is proposed to perform deep edge control in EI. Second, the software-defined dynamic QoS provisioning based on NC theory is proposed to guarantee QoS. Simulations of latency as well as bandwidth utilisation show the advantages of the proposed scheme.
Reference Key
huang2018softwaredefinediet Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Huang, Lina;Liu, Yi;Wu, Jun;Li, Gaolei;Li, Gaolei;Li, Jianhua;
Journal iet cyber-physical systems
Year 2018
DOI
DOI not found
URL
https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0100
Keywords
Medicine Science environmental effects of industries and plants renewable energy sources environmental sciences computer engineering. computer hardware electronic computers. computer science

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.