Performance Evaluation of an IoT-Based Smart Transportation System Using Optical Fiber Communication

Abstract

Smart transport systems have been adopting a number of IoT devices for collecting and transmitting traffic data from vehicles, traffic density, road conditions and monitoring. Nevertheless, the reliability of the process of data transmission is a serious problem, and it becomes especially important to minimize the degradation of signals and reduce bit errors when transmitting data over a long distance. Therefore, it is vital to examine the performance of an IoT-based intelligent transport system connected through fiber optics in order to ensure successful implementation. To do so, a mathematical modeling technique was applied, which allows simulating the behavior of fiber optic link. Specifically, this research proposes the development of the numerical simulation model for assessing the performance of the intelligent transport system under varying distances and data transfer rates. Fibre lengths ranging from 10 kilometers to 80 kilometers were taken into consideration together with data transfer rates varying from 1 Gbps to 10 Gbps. Performance criteria, such as received optical power, quality factor, bit error rate, pulse amplitude and signal quality were analyzed. It has been found that the performance of the system decreases significantly with the increment in fibre length and high data transmission rates. For example, the performance