Industrial Edge Computing: Enabling Embedded Intelligence

Wenbin Dai, Hiroaki Nishi, Valeriy Vyatkin, Victor Huang, Yang Shi, Xinping Guan

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)


The term industrial edge computing is used to describe a distributed platform that integrates communication, computation, and storage resources for performing real-time applications that can be directly accessed from the cloud. A step toward the industrial Internet revolution, industrial edge computing is designed to facilitate agile connectivity, real-time control, and data optimization, while enabling intelligent applications, ensuring tight security, and protecting privacy. Industrial edge computing makes use of what is known as edge computing nodes (ECNs), which bridge the gap between the physical world and the digital world by acting as smart gateways for assets, services, and systems. The IEEE P2805 Standards are being developed for defining protocols for self-management, data acquisition, and machine learning through cloud-edge collaboration on ECNs.

Original languageEnglish
Article number8941000
Pages (from-to)48-56
Number of pages9
JournalIEEE Industrial Electronics Magazine
Issue number4
Publication statusPublished - 2019 Dec

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Industrial Edge Computing: Enabling Embedded Intelligence'. Together they form a unique fingerprint.

Cite this