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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728138930
DOIs	https://doi.org/10.1109/CCNC46108.2020.9045741
Publication status	Published - 1 Jan 2020
Event	17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, United States Duration: 10 Jan 2020 → 13 Jan 2020

Publication series

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

Conference

Conference	17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
Country/Territory	United States
City	Las Vegas
Period	10/01/20 → 13/01/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy Management
Rideshare Taxis
Vehicular Edge Computing

Access to Document

10.1109/CCNC46108.2020.9045741

Cite this

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. In 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).

@inproceedings{80d7ef37dea842b5975b35665c657e66,

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",

year = "2020",

month = jan,

day = "1",

doi = "10.1109/CCNC46108.2020.9045741",

language = "English",

series = "2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020",

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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. in 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, United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

AN - SCOPUS:85085495129

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.

T2 - 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020

Y2 - 10 January 2020 through 13 January 2020

ER -

Laroui M, Nour B, Moungla H, Afifi H, Cherif MA. Mobile Vehicular Edge Computing Architecture using Rideshare Taxis as a Mobile Edge Server. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this