Softwarized Data-Driven Architecture for Edge Computing IIoT Environments: A Proof of Concept
Year: 2025
Type: conference-paper
Abstract: Shifting network intelligence toward the edge offers numerous benefits, including reduced latency and enhanced privacy, for instance. Among the key 6G use cases that integrate Artificial Intelligence (AI) and Internet of Things (IoT), Industrial IoT (IIoT) networks stand out for their potential to improve automation and worker safety. However, there are currently few generalizable architectural proposals that enable practical implementations. In this paper, we present and evaluate a proof of concept (PoC), which is also made publicly available for extension and improvement. While its performance could still be optimized, it is considered a solid starting point and aligned with relevant standards.
Institution: Universidad de Alcalá
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G3480869486, G7084143925
OpenAlex ID: W4409156525
