Work

Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing

Year: 2023

Type: article

Abstract: The coordinated integration of heterogeneous TinyML-enabled elements in highly distributed Internet of Things (IoT) environments paves the way for the development of truly intelligent and context-aware applications. In this work, we propose a hierarchical ensemble TinyML scheme that permits system-wide decisions by considering the individual decisions made by the IoT elements deployed in a certain scenario. A two-layered TinyML-based edge computing solution has been implemented and evaluated in a real smart-agriculture use case, permitting to save wireless transmissions, reduce energy consumption and response times, at the same time strengthening data privacy and security.

Source: Informatica

DOI: 10.15388/22-infor505

Authors: Ramon Sanchez-Iborra, Abdeljalil Zoubir, Abderahmane Hamdouchi, Ali Idri, Antonio Skarmeta

Institutions: Université Mohammed VI Polytechnique, Mohammed V University, Universidad de Murcia

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: Ministerio de Ciencia, Innovación y Universidades, European Commission