Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server

Mohammed Laroui; Boubakr Nour; Hassine Moungla; Hossam Afifi; Moussa Ali Cherif

doi:10.1109/CCNC46108.2020.9045741

Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server

Mohammed Laroui
, Boubakr Nour
, Hassine Moungla
, Hossam Afifi
, Moussa Ali Cherif

EEDIS Laboratory
Djillali Liabes University
Laboratoire de Probabilités et Modèles Aléatoires
Institut Polytechnique de Paris
School of Computer Science
Beijing Institute of Technology

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

7 Citations (Scopus)

Résumé

We propose to utilize rideshare taxis as infrastructure for both communication and computation. Rideshare overlays become hence Mobile Edge Nodes. End-users utilize near rideshare taxis as edge servers to receive video chunks for live video streaming. The set cover problem (SCP) is used to formulate the rideshare taxis coverage optimization inside the city. It provides the maximum number of rideshare taxis that cover end-users routes which guarantee the efficiency of communication services. Simulation results show that the proposed architecture dramatically enhances the quality of service and the overall communication performance in terms of execution time and energy consumption.

langue originale	Anglais
titre	2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
Editeur	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)	9781728138930
Les DOIs	https://doi.org/10.1109/CCNC46108.2020.9045741
état	Publié - 1 janv. 2020
Evénement	17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, États-Unis Durée: 10 janv. 2020 → 13 janv. 2020

Série de publications

Nom	2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

Une conférence

Une conférence	17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
Pays/Territoire	États-Unis
La ville	Las Vegas
période	10/01/20 → 13/01/20

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 7 Énergie abordable et propre

Accès au document

10.1109/CCNC46108.2020.9045741

Contient cette citation

Laroui, M., Nour, B., Moungla, H., Afifi, H., & Cherif, M. A. (2020). Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server. Dans 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020 Article 9045741 (2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC46108.2020.9045741

Laroui, Mohammed ; Nour, Boubakr ; Moungla, Hassine et al. / Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server. 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020).

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title = "Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server",

abstract = "We propose to utilize rideshare taxis as infrastructure for both communication and computation. Rideshare overlays become hence Mobile Edge Nodes. End-users utilize near rideshare taxis as edge servers to receive video chunks for live video streaming. The set cover problem (SCP) is used to formulate the rideshare taxis coverage optimization inside the city. It provides the maximum number of rideshare taxis that cover end-users routes which guarantee the efficiency of communication services. Simulation results show that the proposed architecture dramatically enhances the quality of service and the overall communication performance in terms of execution time and energy consumption.",

keywords = "Energy Management, Rideshare Taxis, Vehicular Edge Computing",

author = "Mohammed Laroui and Boubakr Nour and Hassine Moungla and Hossam Afifi and Cherif, \{Moussa Ali\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 ; Conference date: 10-01-2020 Through 13-01-2020",

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doi = "10.1109/CCNC46108.2020.9045741",

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Laroui, M, Nour, B, Moungla, H, Afifi, H & Cherif, MA 2020, Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server. Dans 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020., 9045741, 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020, Institute of Electrical and Electronics Engineers Inc., 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020, Las Vegas, États-Unis, 10/01/20. https://doi.org/10.1109/CCNC46108.2020.9045741

Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server. / Laroui, Mohammed; Nour, Boubakr; Moungla, Hassine et al.
2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9045741 (2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server

AU - Laroui, Mohammed

AU - Nour, Boubakr

AU - Moungla, Hassine

AU - Afifi, Hossam

AU - Cherif, Moussa Ali

PY - 2020/1/1

Y1 - 2020/1/1

N2 - We propose to utilize rideshare taxis as infrastructure for both communication and computation. Rideshare overlays become hence Mobile Edge Nodes. End-users utilize near rideshare taxis as edge servers to receive video chunks for live video streaming. The set cover problem (SCP) is used to formulate the rideshare taxis coverage optimization inside the city. It provides the maximum number of rideshare taxis that cover end-users routes which guarantee the efficiency of communication services. Simulation results show that the proposed architecture dramatically enhances the quality of service and the overall communication performance in terms of execution time and energy consumption.

AB - We propose to utilize rideshare taxis as infrastructure for both communication and computation. Rideshare overlays become hence Mobile Edge Nodes. End-users utilize near rideshare taxis as edge servers to receive video chunks for live video streaming. The set cover problem (SCP) is used to formulate the rideshare taxis coverage optimization inside the city. It provides the maximum number of rideshare taxis that cover end-users routes which guarantee the efficiency of communication services. Simulation results show that the proposed architecture dramatically enhances the quality of service and the overall communication performance in terms of execution time and energy consumption.

KW - Energy Management

KW - Rideshare Taxis

KW - Vehicular Edge Computing

U2 - 10.1109/CCNC46108.2020.9045741

DO - 10.1109/CCNC46108.2020.9045741

M3 - Conference contribution

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T3 - 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

BT - 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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Laroui M, Nour B, Moungla H, Afifi H, Cherif MA. Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server. Dans 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9045741. (2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020). doi: 10.1109/CCNC46108.2020.9045741

Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server

Résumé

Série de publications

Une conférence

SDG des Nations Unies

Accès au document

Empreinte digitale

Contient cette citation