University of Oulu

Harjula, E., Artemenko, A., Forsström, S. (2021). Edge Computing for Industrial IoT: Challenges and Solutions. In: Mahmood, N.H., Marchenko, N., Gidlund, M., Popovski, P. (eds) Wireless Networks and Industrial IoT. Springer, Cham. https://doi.org/10.1007/978-3-030-51473-0_12

Edge computing for industrial IoT : challenges and solutions

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Author: Harjula, Erkki1; Artemenko, Alexander2; Forsström, Stefan3
Organizations: 1Centre for Wireless Communication, University of Oulu, Oulu, Finland
2Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, Renningen, Germany
3Institution of Information Systems and Technology, Mid Sweden University, Sundsvall, Sweden
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2022050533186
Language: English
Published: Springer Nature, 2020
Publish Date: 2022-12-12
Description:

Abstract

The evolution from local toward virtualized data storage, computing, applications and services — in the forms of Internet of Things (IoT), Everything as a Service (EaaS), and Cloud computing — has changed the way of delivering digital services for consumers and businesses. These technologies have brought clear benefits over traditional systems, such as easy management, universal availability, and decreased hardware requirements for end-user devices. The main challenges of the first-generation IoT services are related to communication latency due to high physical and logical distance between end nodes and server resources and vulnerability for network problems along the long routes. Thanks to the unveiling of the fifth-generation wireless technology (5G) for cellular networks, the last-mile connection performance — communication latency in particular — is taking a huge leap and therefore introducing new possibilities for industrial applications. Edge computing is a key technology to unleash the full potential of the arising industrial wireless communication, since it enables deploying computational tasks to computing nodes near the end devices and therefore opens novel business opportunities around real-time cloud services. In this chapter, we introduce the current state of the art and discuss different challenges the edge computing systems are facing particularly in the Industrial IoT (IIoT) domain, as well as present potential solutions for the identified challenges.

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ISBN: 978-3-030-51473-0
ISBN Print: 978-3-030-51472-3
Pages: 225 - 240
Article number: 12
DOI: 10.1007/978-3-030-51473-0_12
OADOI: https://oadoi.org/10.1007/978-3-030-51473-0_12
Host publication: Wireless Networks and Industrial IoT
Host publication editor: Mahmood, Nurul Huda
Marchenko, Nikolaj
Gidlund, Mikael
Popovski, Petar
Type of Publication: A3 Book chapter
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
AI
IoT
MEC
Copyright information: © 2021 Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in Wireless Networks and Industrial IoT. The final authenticated version is available online at https://doi.org/10.1007/978-3-030-51473-0_12.