Network Slicing and Edge Computing for Industrial IoT Applications

EasyChair Preprint 14090

Abstract

This research explores the integration of network slicing and edge computing to meet the diverse and stringent requirements of industrial Internet of Things (IIoT) applications. Network slicing enables the creation of multiple virtual networks on a shared physical infrastructure, each tailored to specific IIoT use cases with distinct performance, reliability, and security needs. Edge computing, on the other hand, brings computation and data storage closer to the source of data generation, reducing latency and improving real-time processing capabilities. This study focuses on developing efficient network slicing architectures and edge computing platforms that can support critical industrial operations, such as real-time monitoring, predictive maintenance, and automated control systems. By addressing the challenges of resource allocation, scalability, and interoperability, this research aims to enhance the performance, reliability, and security of IIoT systems, thereby facilitating the digital transformation of industrial sectors.

Keyphrases: Edge Computing, IIoT, Industrial IoT, Interoperability, Network Slicing, Predictive Maintenance, Scalability, real-time processing, resource allocation, virtual networks

@booklet{EasyChair:14090,
  author    = {Dylan Stilinki and Joseph Oluwaseyi},
  title     = {Network Slicing and Edge Computing for Industrial IoT Applications},
  howpublished = {EasyChair Preprint 14090},
  year      = {EasyChair, 2024}}