University of Twente Student Theses


Optimal Handover in MEC for an Automotive Application

Eijnden, E.K. van den (2020) Optimal Handover in MEC for an Automotive Application.

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Abstract:With the rapid evolution of automated driving, an ever-increasing number of driving tasks is being taken over by smart vehicles. Traditional cloud computing cannot deliver the required data quickly enough, because the large physical distance between servers and user devices causes a long round-trip time (RTT). Therefore, a new technique must be adopted to fill the existing performance gap; Multi-Access Edge Computing (MEC). MEC requires that an automated vehicles’ data is handed over from one server to the next whenever the connection quality starts to deteriorate due to physical distance or overloading. In this work, we investigate what the optimal strategy is for handover timing and the connected server. We do this using a novel model for MEC implemented in the ns-3 network simulator. The experiments test a set of eight different strategies, each comprised of a combination of a metric for connection quality and a trigger. The results show that the optimal data handover metric for a platooning application is delay and that the optimal result is achieved by applying hysteresis to the trigger mechanism. Thus, the optimal data handover strategy for a platooning application is the delay-hysteresis strategy.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 55 traffic technology, transport technology
Programme:Internet Science and Technology MSc (60032)
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