Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges

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Departmental Papers (CIS)
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CPS Auto
CPS Internet of Things
connected vehicles
edge computing
V2C
V2I
data delivery
service delivery
bandwidth cost
Computer Engineering
Computer Sciences
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Kim, BaekGyu
Lin, Chung-Wei
Shiraishi, Shinichi
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Abstract

The paradigm of connected vehicles is fast gaining lot of attraction in the automotive industry. Recently, a lot of technological innovation has been pushed through to realize this paradigm using vehicle to cloud (V2C), infrastructure (V2I) and vehicle (V2V) communications. This has also opened the doors for efficient delivery of data/service to the vehicles via edge devices that are closer to the vehicles. In this work, we propose an optimization framework that can be used to deliver data/service to the connected vehicles such that a bandwidth cost objective is optimized. For the first time, we also integrate a vehicle flow model in the optimization framework to model the traffic flow in the coverage area of the edges. Using the optimization framework, we study the variation of the optimal bandwidth cost for varying problem sizes and vehicle flow model parameter values for both data and service delivery.

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2018-07-01
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Departmental Papers (CIS)
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2023-05-17T20:21:21.000
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IEEE International Conference on Cloud Computing (CLOUD 2018)(http://conferences.computer.org/cloud/2018/), San Francisco, CA, USA, July 2 - 7, 2018
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