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Energy-Saving and Unloading Mechanism Based on Network Virtualization in Ubiquitous Electric Internet of Things

  • Guojiang Zhang*
  • , Yong Li
  • , Ting Chen
  • , Hong Liu
  • *Corresponding author for this work
  • State Grid Corporation of China
  • State Grid Taizhou Power Supply Company
  • CAS - Shanghai Institute of Microsystem and Information Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the problem of high energy consumption when the mass information processing tasks of IoT devices are unloaded to the cloud in ubiquitous electric internet of things (EIoT), this paper proposes an energy-saving and unloading mechanism based on network virtualization in ubiquitous electric internet of things. Firstly, the task-request status and network-state information are collected by the virtual network controller in the virtual network management layer, and a multi-objective integer programming model is constructed. Then the collaboration terminal nodes and resources allocation priority are determined by the routing and priority decision algorithm. On the basis of above results, abstract virtual resources are allocated according to the remaining power of the network unit, and then the virtual link is embedded into the unused resources of the physical link to realize the reuse of the resources and achieve the goal of energy saving. Finally, a validity assurance strategy is proposed to ensure the validity of the reused link. According to the simulation analysis, it is proved that the energy-saving and unloading mechanism proposed in this paper has significant effects in reducing network energy consumption and optimizing network performance.

Original languageEnglish
Pages (from-to)18-25
Number of pages8
JournalDianli Jianshe/Electric Power Construction
Volume43
Issue number2
DOIs
StatePublished - Feb 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Electric internet of things (EIoT)
  • Energy efficiency
  • Fiber-wireless access network
  • Resources allocation
  • Virtualization

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