Mission-Critical Internet of Things Applications over Fog Networks

  • Chen, Xianfu (CoPI)
  • Forsell, Martti (Participant)
  • Chen, Tao (Participant)
  • Räty, Tomi (Participant)

Project: Academy of Finland project

Project Details

Description

The Internet of Things (IoT) has recently become prevalent in several important application scenarios. Many of these applications are mission-critical: they require very high reliability as well as very low latency. In parallel with 5G, the fog networking has lately emerged as a promising paradigm for joint computing and communication, where virtualized resources are available at both the network edge and end-devices. The goal of the proposed research is indeed to harness fog networking to enable mission-critical IoT applications. Specifically, the project aims at defining novel mathematical and software tools to optimize the performance of large-scale IoT applications over heterogeneous devices, with a focus on reliable and low-latency operations. The undertaken research is a technology enabler for next generation wireless communication systems for the IoT. We take a multi-disciplinary approach at the intersection of networking, distributed computing, and economics.
AcronymMISSION
StatusFinished
Effective start/end date1/01/1931/12/21

Collaborative partners

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities

Keywords

  • internet of things
  • URLLC
  • reinforcement learning
  • data-driven optimization
  • analytical modeling
  • federated learning