Abstract
This article surveys emerging technologies related to pervasive edge computing (PEC) for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks. PEC encompasses all devices that are capable of performing computational tasks locally, including those at the edge of the core network (edge servers co-located with 5G base stations) and in the radio access network (sensors, actuators, etc.). The main advantages of this paradigm are core network offloading (and benefits therefrom) and low latency for delay-sensitive applications (e.g., automatic control). We have reviewed the state-of-the-art in the PEC paradigm and its applications to the IIoT domain, which have been enabled by the recent developments in 5G technology. We have classified and described three important research areas related to PEC-distributed artificial intelligence methods, energy efficiency, and cyber security. We have also identified the main open challenges that must be solved to have a scalable PEC-based IIoT network that operates efficiently under different conditions. By explaining the applications, challenges, and opportunities, our paper reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks, considering the modern trend toward private industrial 5G networks with local operations and flexible management.
Highlights
Today, the Internet of Things (IoT) is a well-established paradigm in modern wireless telecommunications with numerous applications to society and the industry
In this article, we have surveyed emerging technologies related to industrial internet-of-things (IIoT) enabled by 5G and beyond communication networks
We have discussed the main advantages of this paradigm—core network offloading and low latency for delay-sensitive applications— and reviewed the state-of-the-art in the pervasive edge computing (PEC) paradigm and its applications to the IIoT domain
Summary
The Internet of Things (IoT) is a well-established paradigm in modern wireless telecommunications with numerous applications to society and the industry. In IIoT, a massive number of (smart) industrial machines, actuators, and sensors connect to each other to form a network of smart IoT-based devices with some computing power, communications capabilities, and data storage and caching [3], which can be potentially shared to jointly perform computational tasks. Our contribution (depicted in Fig. 1) covers this current gap by articulating the recent advances in radio access and network technologies, especially those related to the important areas of artificial intelligence (AI), federated learning (FL), energy efficiency, and cyber security for different industrial applications. The rest of this survey is organized as follows. We will describe some of the tradeoffs of edge and cloud computing architectures
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
