University of Oulu

B. Soret et al., "Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs," in IEEE Transactions on Green Communications and Networking, vol. 6, no. 1, pp. 629-644, March 2022, doi: 10.1109/TGCN.2021.3138792

Learning, computing, and trustworthiness in intelligent IoT environments : performance-energy tradeoffs

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Author: Soret, Beatriz1; Nguyen, Lam D.1; Seeger, Jan2;
Organizations: 1Connectivity Section, Department of Electronic System, Aalborg University, Denmark
2Siemens AG, Munich, Germany
3Centre for Wireless Communications (CWC), University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-02-04


An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can collaboratively execute semiautonomous IoT applications, examples of which include highly automated manufacturing cells or autonomously interacting harvesting machines. Energy efficiency is key in such edge environments, since they are often based on an infrastructure that consists of wireless and battery-run devices, e.g., e-tractors, drones, Automated Guided Vehicle (AGV)s and robots. The total energy consumption draws contributions from multiple iIoTe technologies that enable edge computing and communication, distributed learning, as well as distributed ledgers and smart contracts. This paper provides a state-of-the-art overview of these technologies and illustrates their functionality and performance, with special attention to the tradeoff among resources, latency, privacy and energy consumption. Finally, the paper provides a vision for integrating these enabling technologies in energyefficient iIoTe and a roadmap to address the open research challenges.

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Series: IEEE transactions on green communications and networking
ISSN: 2473-2400
ISSN-E: 2473-2400
ISSN-L: 2473-2400
Volume: 6
Issue: 1
Pages: 629 - 644
DOI: 10.1109/TGCN.2021.3138792
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 957218 (Project IntellIoT).
EU Grant Number: (957218) IntellIoT - Intelligent, distributed, human-centered and trustworthy IoT environments
Copyright information: © 2021 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see