Intelligence Stratum for IoT. Architecture Requirements and Functions

by   Edgar Ramos, et al.

The use of Artificial Intelligence (AI) is becoming increasingly pervasive and relevant in many different application areas. Researchers are putting a considerable effort to take full advantage of the power of AI, while trying to overcome the technical challenges that are intrinsically linked to almost any domain area of application, such as the Internet of Things (IoT). One of the biggest problems related to the use of AI in IoT is related to the difficulty of coping with the wide variety of protocols and software technologies used, as well as with the heterogeneity of the hardware resources consuming the AI. The scattered IoT landscape accentuates the limitations on interoperability, especially visible in the deployment of AI, affecting the seamless AI life-cycle management as well. In this paper, it is discussed how to enable AI distribution in IoT by introducing a layered intelligence architecture that aims to face the undertaken challenges taking into account the special requirements of nowadays IoT networks. It describes the main characteristics of the new paradigm architecture, highlighting what are the implications of its adoption from use cases perspective and their requirements. Finally, a set of open technical and research challenges are enumerated to reach the full potential of the intelligence distribution's vision.



There are no comments yet.


page 1

page 3

page 6


Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Smart cities play a vital role in the growth of a nation. In recent year...

Distributing Intelligence to the Edge and Beyond

Machine Intelligence (MI) technologies have revolutionized the design an...

LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers

In today's computing environment, where Artificial Intelligence (AI) and...

Wireless AI: Enabling an AI-Governed Data Life Cycle

Recent years have seen rapid deployment of mobile computing and Internet...

Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior

Pandemics and natural disasters over the years have changed the behavior...

Constraint Programming Algorithms for Route Planning Exploiting Geometrical Information

Problems affecting the transport of people or goods are plentiful in ind...

An AI-driven Malfunction Detection Concept for NFV Instances in 5G

Efficient network management is one of the key challenges of the constan...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.