Real Time Vehicle Identification: A Synchronous-Transmission Based Approach

TL;DR

This paper introduces a real-time vehicle identification method using Synchronous-Transmission (ST) communication, demonstrating theoretical advantages and practical implementation in IoT systems over traditional asynchronous methods.

Contribution

It proposes a novel ST-based strategy for vehicle identification, highlighting its theoretical benefits and validating its performance through implementation in Contiki OS.

Findings

ST improves real-time data sharing efficiency

Capture-Effect enhances communication reliability

Implementation outperforms existing strategies

Abstract

Identification of the vehicles passing over the roads is a very important component of traffic monitoring/surveillance. There have been many attempts to design and develop efficient strategies to carry out the job. However, from the point of view of practical usefulness and real-time operation, most of them do not score well. In the current work, we perceive the problem as efficient real-time communication and data-sharing between the units in charge of recording the identities of the vehicles, i.e., Vehicle Recorders (VR), and the Vehicles (VE). We propose a strategy to address the issue with the help of Synchronous-Transmission (ST), which is a newer paradigm of communication compared to the traditional paradigm based on Asynchronous-Transmission (AT). First, we theoretically show that the presence of the physical layer phenomena called Capture-Effect in ST brings a significant benefit. Next, we also implement the strategy in a well-known IoT-Operating System Contiki, and compare its performance with the existing best-known strategy.