Loading...
Hybrid medium access control strategy for internet of things-enabled intra-vehicular health monitoring system
Karim, Mahima Atiquzzaman, Mohammed
Karim, Mahima
Atiquzzaman, Mohammed
Editors
Other contributors
Affiliation
Epub Date
Issue Date
2024-10-24
Submitted date
Alternative
Abstract
The increasing importance of intra-vehicular health monitoring systems (IVHMS) necessitates robust communication protocols within vehicles, especially with the integration of the Internet of Things (IoT). This integration presents challenges in enhancing vehicle health monitoring efficiency due to the constrained space for numerous sensing devices, leading to scalability and performance issues. Existing MAC (Medium Access Control) schemes often result in congestion, decreased throughput, and increased delays. This study proposes a scalable hybrid MAC strategy to improve throughput and reduce congestion in IVHMS. The approach features a two-phase communication model—Non-emergency and Emergency phases—for scalability. Our hybrid MAC strategy combines a history-based approach for Emergency Communication and a priority-based approach for Non-emergency Communication. A Markov chain model evaluates the expected throughput and delay of the proposed MAC strategy, with numerical analysis validating the approach. Results show the hybrid MAC achieves a 66.7% throughput improvement over the history-based strategy and a 16.7% improvement over the priority-based approach while effectively reducing data collisions and delays. Furthermore, the hybrid MAC demonstrates an 8.3% increase in throughput compared to a previously proposed distributed hybrid MAC. Implementing this Hybrid MAC in industrial-scale vehicular health monitoring can enhance vehicle safety, benefiting manufacturers and passengers alike.
Citation
Karim, M., Rahman, M.A. and Atiquzzaman, M. (2025) Hybrid medium access control strategy for internet of things-enabled intra-vehicular health monitoring system. IEEE Internet of Things Journal, 12(4) pp.3846-3857. DOI: 10.1109/JIOT.2024.3483228.
Journal
Research Unit
PubMed ID
PubMed Central ID
Embedded videos
Additional Links
Type
Journal article
Language
en
Description
This is an author's accepted manuscript of an article published by IEEE in IEEE Internet of Things Journal on 24/10/2024, available online: https://ieeexplore.ieee.org/document/10735082 The accepted manuscript may differ from the final published version.
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Series/Report no.
ISSN
2327-4662
EISSN
2327-4662