Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

IoT application for vehicles identification using the Optical Fiber Sensors and Wireless Sensor Network

Version 1 : Received: 18 September 2021 / Approved: 22 September 2021 / Online: 22 September 2021 (13:27:42 CEST)

How to cite: Khlaifi, H.; Zrelli, A.; Ezzedine, T. IoT application for vehicles identification using the Optical Fiber Sensors and Wireless Sensor Network. Preprints 2021, 2021090385. https://doi.org/10.20944/preprints202109.0385.v1 Khlaifi, H.; Zrelli, A.; Ezzedine, T. IoT application for vehicles identification using the Optical Fiber Sensors and Wireless Sensor Network. Preprints 2021, 2021090385. https://doi.org/10.20944/preprints202109.0385.v1

Abstract

Due to the renewed variation in government and political systems inside and outside countries, and with the high tariffs at borders, the latter have become an outlet for terrorism and smugglers. Therefore, each country seeks to develop its own protection system, and the technologies used in these systems vary according to the severity and the importance of the installations to be protected, it is found that some of them are expensive and unnecessary, but other have good and variable levels of efficiency. Consequently, the idea of designing a surveillance system that can monitor and control access becomes indispensable. In the same context, this work is of crucial strategic and geopolitical importance. It combines pre-existing alarm and monitoring methods and revolutionary Internet of Things (IoT) application products, of which Wireless Sensor Networks (WSN) and Optical Fiber Sensors (OFS) are part of this application. This article presents the distribution of wireless radar nodes accompanying with a Bragg fiber sensor to identify each rolling intruder incoming the zone to be monitored, from the determination of its speed, weight and wheelbase distance.

Keywords

Wireless Sensors Networks; Fiber Bragg Grating; Pressure; Speed; Wheelbase distance; Weight; Vehicle; Identification.

Subject

Engineering, Automotive Engineering

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