An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning

12/14/2018
by   Nathalia Nascimento, et al.
0

Agent-based Internet of Things (IoT) applications have recently emerged as applications that can involve sensors, wireless devices, machines and software that can exchange data and be accessed remotely. Such applications have been proposed in several domains including health care, smart cities and agriculture. However, despite their increased adoption, deploying these applications in specific settings has been very challenging because of the complex static and dynamic variability of the physical devices such as sensors and actuators, the software application behavior and the environment in which the application is embedded. In this paper, we propose a modeling approach for IoT analytics based on learning embodied agents (i.e. situated agents). The approach involves: (i) a variability model of IoT embodied agents; (ii) feedback evaluative machine learning; and (iii) reconfiguration of a group of agents in accordance with environmental context. The proposed approach advances the state of the art in that it facilitates the development of Agent-based IoT applications by explicitly capturing their complex and dynamic variabilities and supporting their self-configuration based on an context-aware and machine learning-based approach.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/12/2018

Machine Learning-based Variability Handling in IoT Agents

Agent-based IoT applications have recently been proposed in several doma...
research
02/15/2021

A Reference Model for IoT Embodied Agents Controlled by Neural Networks

Embodied agents is a term used to denote intelligent agents, which are a...
research
08/04/2021

Context-Aware Environment Monitoring to Support LPWAN-based Battlefield Applications

The use of IoT-related technologies is growing in several areas. Applica...
research
05/10/2018

A Unified Knowledge Representation and Context-aware Recommender System in Internet of Things

Within the rapidly developing Internet of Things (IoT), numerous and div...
research
10/31/2017

Complex Systems Science meets 5G and IoT

We propose a new paradigm for telecommunications, and develop a framewor...
research
04/03/2019

Testing Self-Organizing Multiagent Systems

Multiagent Systems (MASs) involve different characteristics, such as aut...
research
06/24/2019

Hybrid-Learning approach toward situation recognition and handling

The success of smart environments largely depends on their smartness of ...

Please sign up or login with your details

Forgot password? Click here to reset