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Towards Wireless ADAS - Retrofitting IoT for Increased Safety
Ref: CISTER-TR-191207       Publication Date: 11, Sep, 2019

Abstract:
Opening a new world of possibilities, Wireless Sensor Networks (WSNs) are the main reason why the Internet of Things (IoT) is growing at an unstoppable pace. The extension of this recent technological paradigm is so present in our every day life that it is estimated that more than 75 billion devices are going to be connected by the year of 2025, a fivefold increase in ten years. This is due to research and industry interests, which collide in a unique philosophy: creating new tools and technologies to support this unprecedented growth. Therefore, the investment in technological interests such as vehicle assistance and autonomous driving increases more and more. However, implementing these same systems on older cars is costly as it would be necessary to redesign its entire structure. This thesis aims to provide results and conclusions concerning the supported tools for retrofitting these Advanced Driver-Assistance Systems (ADAS) via wireless in all the vehicles, increasing safety road guarantees and V2V (Vehicle to Vehicle) communications, transforming the vehicles into IoT devices. To support this new paradigm, there is a wide range of wireless communication protocols for similar applications. The IEEE 802.15.4 stands out for the use of Time Division Multiple Access (TDMA) in MAC behaviors such as Deterministic and Synchronous Multichannel Extension (DSME), Low Latency Deterministic Network (LLDN) and Time Slotted Channel Hopping (TSCH), which were designed to support time critical applications. Moreover, to reinforce the assurance of similar critical systems, middlewares are crucial to provide safety guarantees. As a result, in this thesis, we discuss the performance of both versions of the Robot Operating System (ROS) as middleware and the behaviour of the network when supported by them. Consequently, we created a simulation ADAS scenario, which allows us to test the QoS provided by the IEEE 802.15.4 DSME MAC behavior when supporting ADAS and the respective application impact, focusing on the safety guarantees of these systems.

Tiago Pinto

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