Exploiting multihoming capabilities in 5G-enabled IoT nodes

Abstract

5G communications allow the integration of different wireless technologies to exploit the added value of multihoming scenarios. Furthermore, in connection with the Internet of Things (IoT), multi-homed nodes are very interesting, since it allows one to address new challenges and adapt the usage of communication technologies to new requirements imposed by the location of each deployment, the available energy resources on each node, and the IoT application itself. There are available commercial wireless nodes that embed and handle multiple interfaces. Terms such as seamless and transparent communications as well as technology integration fit well within the 5G standards. However, in practice, these wireless nodes are basically relayed in one of these wireless technologies when connected, and in the case of using other interfaces, their usage is not coordinated. In this context, we propose and implement a novel and efficient heterogeneous interface selection algorithm for multihoming and integrative communications using commercial products by performing local decisions on a per-packet basis, analysing different issues and approaches from a practical point of view, both hardware and software. We compare our proposal with other alternatives, highlighting the opportunities by exploiting these multihoming features in 5G-enabled IoT nodes.

Publication DOI: https://doi.org/10.1109/ACCESS.2023.3338180
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
Aston University (General)
Funding Information: This work was supported in part by the MCIN/AEI/10.13039/501100011033 under Grant PID2021-126823OB-I00, in part by the European Regional Development Fund (ERDF)—A Way of Making Europe funded by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/Plan de Recuperación, Transformación y Resiliencia (PRTR) under Grant TED2021-131040B-C33, in part by the European Commission Horizon 2020 5G-PPP Program ‘‘6G BRAINS: Bringing Reinforcement learning Into Radio Light Network for Massive Connections’’ under Grant H2020-ICT-2020-2/101017226, in part by the Horizon Europe ‘‘INCODE: Programming Platform for Intelligent Collaborative Deployments Over Heterogeneous Edge-Internet of Things (IoT) Environments’’ under Grant HORIZON-CL4-2022-DATA-01-03/101093069. Also, to the Generalitat Valenciana with grant references CIAICO/2022/179 and CIAEST/2022/64, as well as the Research Vice-rectorship of Universitat de València for funding the grant with reference UV-INV-EPDI-2647726 for a research stay and the Spanish Ministry of Education in the call for Senior Professors and Researchers to stay in foreign centers for the grant PRX22/00503.
Additional Information: Copyright © 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: 5G,heterogeneous networks,Internet of Things,multihoming,seamless/transparent communications
Publication ISSN: 2169-3536
Last Modified: 03 Feb 2026 17:20
Date Deposited: 11 Apr 2025 10:12
Full Text Link:
Related URLs: https://ieeexpl ... cument/10336763 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-11-30
Accepted Date: 2023-11-26
Authors: Fayos-Jordan, Rafael
Felici-Castell, Santiago
Segura-Garcia, Jaume
Alcaraz-Calero, Jose M. (ORCID Profile 0000-0002-2654-7595)
Cervello-Duato, Antonio

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