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An RSU Placement Framework for V2I Scenarios

Authors:
Baris Kara
Atay Ozgovde

Keywords: edge computing, V2I, connected vehicles, roadside units

Abstract:
Edge computing has become a prominent computing strategy when mobile devices and Internet of Things (IoT) became popular in the last decade and cloud computing could not meet the computational requirements of some of these devices/applications. What edge computing can provide differently from cloud computing is low latency in communication, high quality of service, and support for high mobility. Connected and autonomous vehicles scenarios can be considered as an important application field for edge computing as these are the key requirements to implement a vehicular network. In this study, we aim to present a solution to one of the high level problems in vehicular networks: efficient Road Side Unit (RSU) placement by addressing network coverage and computational demand. We propose an RSU placement framework for generating RSU placement models based on traffic characteristics of a target area. Moreover, our work includes extending capabilities of a simulation framework designed for edge computing scenarios. Therefore, we can evaluate the performance of the generated models and validate their functionality by running simulations on this environment.

Pages: 1 to 8

Copyright: Copyright (c) IARIA, 2019

Publication date: September 22, 2019

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-740-5

Location: Porto, Portugal

Dates: from September 22, 2019 to September 26, 2019