Scalable energy efficient routing in multi-layer femtocell networks

Jun Zhang; Houda Labiod; Seif Eddine Hammami; Hossam Afifi

doi:10.1109/IWCMC.2017.7986513

Scalable energy efficient routing in multi-layer femtocell networks

Jun Zhang
, Houda Labiod
, Seif Eddine Hammami
, Hossam Afifi

Université Paris-Saclay
Telecom Sudparis

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

Résumé

In this paper, we present a data-driven solution to address the energy efficient routing problem in a multi-layer femtocell network. The basic idea is to divide problems into categories by the clustering of traffic demand vectors, and solve a problem by a most suitable algorithm, in terms of throughput, energy consumption and computation time, corresponding to its category. The simulation results show that, our proposed approach can achieve a similar performance in throughput and energy saving as the previous JRN algorithm, by reducing 80% computation time.

langue originale	Anglais
titre	2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	1540-1545
Nombre de pages	6
ISBN (Electronique)	9781509043729
Les DOIs	https://doi.org/10.1109/IWCMC.2017.7986513
état	Publié - 19 juil. 2017
Evénement	13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Espagne Durée: 26 juin 2017 → 30 juin 2017

Série de publications

Nom	2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Une conférence

Une conférence	13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Pays/Territoire	Espagne
La ville	Valencia
période	26/06/17 → 30/06/17

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/IWCMC.2017.7986513

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Contient cette citation

Zhang, J., Labiod, H., Hammami, S. E., & Afifi, H. (2017). Scalable energy efficient routing in multi-layer femtocell networks. Dans 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017 (p. 1540-1545). Article 7986513 (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2017.7986513

Zhang, Jun ; Labiod, Houda ; Hammami, Seif Eddine et al. / Scalable energy efficient routing in multi-layer femtocell networks. 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1540-1545 (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017).

@inproceedings{ec4f7386e5b94b048dff4536a4cb4e8e,

title = "Scalable energy efficient routing in multi-layer femtocell networks",

abstract = "In this paper, we present a data-driven solution to address the energy efficient routing problem in a multi-layer femtocell network. The basic idea is to divide problems into categories by the clustering of traffic demand vectors, and solve a problem by a most suitable algorithm, in terms of throughput, energy consumption and computation time, corresponding to its category. The simulation results show that, our proposed approach can achieve a similar performance in throughput and energy saving as the previous JRN algorithm, by reducing 80\% computation time.",

keywords = "Cellular network, Data-driven, Energy efficient, Femtocell, Mesh networks, Routing",

author = "Jun Zhang and Houda Labiod and Hammami, \{Seif Eddine\} and Hossam Afifi",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 ; Conference date: 26-06-2017 Through 30-06-2017",

year = "2017",

month = jul,

day = "19",

doi = "10.1109/IWCMC.2017.7986513",

language = "English",

series = "2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017",

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

pages = "1540--1545",

booktitle = "2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017",

}

Zhang, J, Labiod, H, Hammami, SE & Afifi, H 2017, Scalable energy efficient routing in multi-layer femtocell networks. Dans 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017., 7986513, 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017, Institute of Electrical and Electronics Engineers Inc., p. 1540-1545, 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017, Valencia, Espagne, 26/06/17. https://doi.org/10.1109/IWCMC.2017.7986513

Scalable energy efficient routing in multi-layer femtocell networks. / Zhang, Jun; Labiod, Houda; Hammami, Seif Eddine et al.
2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1540-1545 7986513 (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017).

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 - Scalable energy efficient routing in multi-layer femtocell networks

AU - Zhang, Jun

AU - Labiod, Houda

AU - Hammami, Seif Eddine

AU - Afifi, Hossam

PY - 2017/7/19

Y1 - 2017/7/19

N2 - In this paper, we present a data-driven solution to address the energy efficient routing problem in a multi-layer femtocell network. The basic idea is to divide problems into categories by the clustering of traffic demand vectors, and solve a problem by a most suitable algorithm, in terms of throughput, energy consumption and computation time, corresponding to its category. The simulation results show that, our proposed approach can achieve a similar performance in throughput and energy saving as the previous JRN algorithm, by reducing 80% computation time.

AB - In this paper, we present a data-driven solution to address the energy efficient routing problem in a multi-layer femtocell network. The basic idea is to divide problems into categories by the clustering of traffic demand vectors, and solve a problem by a most suitable algorithm, in terms of throughput, energy consumption and computation time, corresponding to its category. The simulation results show that, our proposed approach can achieve a similar performance in throughput and energy saving as the previous JRN algorithm, by reducing 80% computation time.

KW - Cellular network

KW - Data-driven

KW - Energy efficient

KW - Femtocell

KW - Mesh networks

KW - Routing

UR - https://www.scopus.com/pages/publications/85027847849

U2 - 10.1109/IWCMC.2017.7986513

DO - 10.1109/IWCMC.2017.7986513

M3 - Conference contribution

AN - SCOPUS:85027847849

T3 - 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

SP - 1540

EP - 1545

BT - 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Y2 - 26 June 2017 through 30 June 2017

ER -

Zhang J, Labiod H, Hammami SE, Afifi H. Scalable energy efficient routing in multi-layer femtocell networks. Dans 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1540-1545. 7986513. (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017). doi: 10.1109/IWCMC.2017.7986513

Scalable energy efficient routing in multi-layer femtocell networks

Résumé

Série de publications

Une conférence

SDG des Nations Unies

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Autres fichiers et liens

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Contient cette citation