Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective

Kun Wang, Yihui Wang, Yanfei Sun, Song Guo, Jinsong Wu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

219 Citations (Scopus)

Abstract

The Internet of Things (IoT) can support collaboration and communication between objects automatically. However, with the increasing number of involved devices, IoT systems may consume substantial amounts of energy. Thus, the relevant energy efficiency issues have recently been attracting much attention from both academia and industry. In this article we adopt an energy-efficient architecture for Industrial IoT (IIoT), which consists of a sense entities domain, RESTful service hosted networks, a cloud server, and user applications. Under this architecture, we focus on the sense entities domain where huge amounts of energy are consumed by a tremendous number of nodes. The proposed framework includes three layers: the sense layer, the gateway layer, and the control layer. This hierarchical framework balances the traffic load and enables a longer lifetimeof the whole system. Based on this deployment, a sleep scheduling and wake-up protocol is designed, supporting the prediction of sleep intervals. The shifts of states support the use of the entire system resources in an energy-efficient way. Simulation results demonstrate the significant advantages of our proposed architecture in resource utilization and energy consumption.
Original languageEnglish
Article number7785890
Pages (from-to)48-54
Number of pages7
JournalIEEE Communications Magazine
Volume54
Issue number11
DOIs
Publication statusPublished - 1 Dec 2016

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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