Energy efficient and delay aware vehicular edge cloud

Amal A. Alahmadi, T. E.H. El-Gorashi, Jaafar M.H. Elmirghani

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

2 Citations (Scopus)

Abstract

Vehicular Edge Clouds (VECs) is a new distributed processing paradigm that exploits the revolution in the processing capabilities of vehicles to offer energy efficient services and improved QoS. In this paper we tackle the problem of processing allocation in a cloud- fog- VEC architecture by developing a joint optimization Mixed Integer Linear Programming (MILP) model to minimize power consumption, propagation delay, and queuing delay. The results show that while VEC processing can reduce the power consumption and propagation delay, VEC processing can increase the queuing delay because of the low data rate connectivity between the vehicles and the data source nodes.

Original languageEnglish
Title of host publication2020 22nd International Conference on Transparent Optical Networks, ICTON 2020
EditorsFrancesco Prudenzano, Crina Cojocaru, Patryk Urban, Marian Marciniak
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)9781728184234
ISBN (Print)9781728184241
DOIs
Publication statusPublished - Jul 2020
Externally publishedYes
Event22nd International Conference on Transparent Optical Networks, ICTON 2020 - Bari, Italy
Duration: 19 Jul 202023 Jul 2020

Publication series

NameInternational Conference on Transparent Optical Networks
Volume2020-July
ISSN (Electronic)2162-7339

Conference

Conference22nd International Conference on Transparent Optical Networks, ICTON 2020
Country/TerritoryItaly
CityBari
Period19/07/2023/07/20

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