Project IEoT

Edge computing is a key technology to unleash the full potential of 5G and beyond wireless technologies, since it enables deploying computational tasks near the end-devices and therefore opens novel business opportunities around real-time cloud services for wirelessly connected mobile and IoT nodes. It provides computational capacity near the source of the data, allowing various data pre-processing, refining and analysis functions to reduce the amount of data to be sent to cloud servers and therefore reducing the load inflicted to core networks and data centers. This is a powerful measure for promoting sustainability in technological evolution. Furthermore, it helps limiting data propagation towards public networks and helps service providers to provide guarantees for customers to keep their personal or business-confidential data within set boundaries.

To maximise the benefits of edge computing, this project will take the concept of edge computing to a new level by introducing the third, local edge, tier in addition to the data center and MEC tiers. In complex multi-layered systems such as edge computing, the role of technologies that accommodate realizing, orchestrating and maintaining complex and dynamic service ecosystems and their data management is emphasized. Therefore, in this project we will integrate Artificial intelligence (AI) into edge computing frameworks to build intelligent edge for dynamic, adaptive edge maintenance and management and utilise the full potential of each tier of the IoT Edge architecture to meet different application requirements. This project focuses on developing an intelligent three-tier Edge IoT architecture for enabling novel services around business areas such as smart transportation, smart manufacturing and smart homes. The outcome will facilitate the generation of new business opportunities for companies that will be able to utilise a converged ecosystem based on the three-tier Edge IoT architecture to offer their clients new products and services.