Optical Wireless Communication-Based Vehicular Fleet Management Case Analogy With Digital Twin IoT Middleware

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Authors: Satish Kumar Modalavalasa, Raul Zamorano-Illanes, Carlos Guerra-Yánez, Shivani Rajendra Teli, Zabih F. Ghassemlooy, Stanislav Zvánovec
Cited by: 0
References: 37

Abstract

Rapid growth in the number of sensing elements demands novel communication approaches and the utilization of computational prowess for modern intelligent systems and futuristic technological diligence with the Internet of things (IoT). There are advanced trends in applications related to cyber-physical systems, where interaction with physical sensing elements and digital computational resources is predominant. This article explores an application of a digital twin (DT) in vehicle fleet management utilizing optical wireless communication technology. A digital microservice architecture for receiving sensor data, storage, and real-time visualization is implemented, incorporating the open-source Eclipse Ditto framework as a DT-based IoT middleware solution. The pilot experimental setup for the functional implementation of the proof of concept of the proposed system architecture is analysed. We have used 10 m long visible-light communication links to transmit custom string information, replicating sensor data from a vehicle equipped with light-emitting diodes (LEDs) and sending it to the receiver node on the edge server. The bit error rates of 4 × 10-10and 1 × 10-6were measured for a maximum link distance of up to 15 m in the case of vehicle to infrastructure links and infrastructure to vehicle, respectively. The research demonstrates an integration between the computational processing scenario and a physical communication interface for vehicular applications within a DT framework. The fleet management application is proposed and implemented as a prototype for a fleet of ten vehicles transmitting sensor information to the DT application for telematics and alert handling.

Fields of Study & Subjects

Optical Wireless Communication Technologies Vehicular Ad Hoc Networks (VANETs) IoT and Edge/Fog Computing

Publication details

Journal / source
IEEE Access
Volume
14
Pages
10384–10394
Publication date
1 January 2026