Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks

Sylia Mekhmoukh Taleb; Yassine Meraihi; Seyedali Mirjalili; Dalila Acheli; Amar Ramdane-Cherif; Asma Benmessaoud Gabis

doi:10.1109/ICAASE56196.2022.9931590

Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks

Sylia Mekhmoukh Taleb, Yassine Meraihi, Seyedali Mirjalili, Dalila Acheli, Amar Ramdane-Cherif, Asma Benmessaoud Gabis

Artificial Intelligence Research and Optimization

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

Abstract

This paper proposes an improved version of the newly developed Honey Badger Algorithm (HBA), called Generalized opposition Based-Learning HBA (GOBL-HBA), for solving the mesh routers placement problem. The proposed GOBLHBA is based on the integration of the generalized opposition-based learning strategy into the original HBA. GOBL-HBA is validated in terms of three performance metrics such as user coverage, network connectivity, and fitness value. The evaluation is done using various scenarios with different number of mesh clients, number of mesh routers, and coverage radius values. The simulation results revealed the efficiency of GOBL-HBA when compared with the classical HBA, Genetic Algorithm (GA), and Particle Swarm optimization (PSO).

Original language	English
Title of host publication	ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665492027
DOIs	https://doi.org/10.1109/ICAASE56196.2022.9931590
Publication status	Published - 2022
Event	5th Edition of the International Conference on Advanced Aspects of Software Engineering, ICAASE 2022 - Constantine, Algeria Duration: 17 Sept 2022 → 18 Sept 2022

Publication series

Name	ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings

Conference

Conference	5th Edition of the International Conference on Advanced Aspects of Software Engineering, ICAASE 2022
Country/Territory	Algeria
City	Constantine
Period	17/09/22 → 18/09/22

Keywords

Generalized opposition based-learning
Honey Badger Algorithm
Mesh routers placement problem
Wireless mesh networks

Access to Document

10.1109/ICAASE56196.2022.9931590

Cite this

Taleb, S. M., Meraihi, Y., Mirjalili, S., Acheli, D., Ramdane-Cherif, A., & Gabis, A. B. (2022). Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks. In ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings (ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAASE56196.2022.9931590

Taleb, Sylia Mekhmoukh ; Meraihi, Yassine ; Mirjalili, Seyedali et al. / Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks. ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings).

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title = "Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks",

abstract = "This paper proposes an improved version of the newly developed Honey Badger Algorithm (HBA), called Generalized opposition Based-Learning HBA (GOBL-HBA), for solving the mesh routers placement problem. The proposed GOBLHBA is based on the integration of the generalized opposition-based learning strategy into the original HBA. GOBL-HBA is validated in terms of three performance metrics such as user coverage, network connectivity, and fitness value. The evaluation is done using various scenarios with different number of mesh clients, number of mesh routers, and coverage radius values. The simulation results revealed the efficiency of GOBL-HBA when compared with the classical HBA, Genetic Algorithm (GA), and Particle Swarm optimization (PSO).",

keywords = "Generalized opposition based-learning, Honey Badger Algorithm, Mesh routers placement problem, Wireless mesh networks",

author = "Taleb, {Sylia Mekhmoukh} and Yassine Meraihi and Seyedali Mirjalili and Dalila Acheli and Amar Ramdane-Cherif and Gabis, {Asma Benmessaoud}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th Edition of the International Conference on Advanced Aspects of Software Engineering, ICAASE 2022 ; Conference date: 17-09-2022 Through 18-09-2022",

year = "2022",

doi = "10.1109/ICAASE56196.2022.9931590",

language = "English",

series = "ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings",

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

booktitle = "ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings",

}

Taleb, SM, Meraihi, Y, Mirjalili, S, Acheli, D, Ramdane-Cherif, A & Gabis, AB 2022, Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks. in ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings. ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings, Institute of Electrical and Electronics Engineers Inc., 5th Edition of the International Conference on Advanced Aspects of Software Engineering, ICAASE 2022, Constantine, Algeria, 17/09/22. https://doi.org/10.1109/ICAASE56196.2022.9931590

Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks. / Taleb, Sylia Mekhmoukh; Meraihi, Yassine; Mirjalili, Seyedali et al.
ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings).

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

TY - GEN

T1 - Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks

AU - Taleb, Sylia Mekhmoukh

AU - Meraihi, Yassine

AU - Mirjalili, Seyedali

AU - Acheli, Dalila

AU - Ramdane-Cherif, Amar

AU - Gabis, Asma Benmessaoud

PY - 2022

Y1 - 2022

N2 - This paper proposes an improved version of the newly developed Honey Badger Algorithm (HBA), called Generalized opposition Based-Learning HBA (GOBL-HBA), for solving the mesh routers placement problem. The proposed GOBLHBA is based on the integration of the generalized opposition-based learning strategy into the original HBA. GOBL-HBA is validated in terms of three performance metrics such as user coverage, network connectivity, and fitness value. The evaluation is done using various scenarios with different number of mesh clients, number of mesh routers, and coverage radius values. The simulation results revealed the efficiency of GOBL-HBA when compared with the classical HBA, Genetic Algorithm (GA), and Particle Swarm optimization (PSO).

AB - This paper proposes an improved version of the newly developed Honey Badger Algorithm (HBA), called Generalized opposition Based-Learning HBA (GOBL-HBA), for solving the mesh routers placement problem. The proposed GOBLHBA is based on the integration of the generalized opposition-based learning strategy into the original HBA. GOBL-HBA is validated in terms of three performance metrics such as user coverage, network connectivity, and fitness value. The evaluation is done using various scenarios with different number of mesh clients, number of mesh routers, and coverage radius values. The simulation results revealed the efficiency of GOBL-HBA when compared with the classical HBA, Genetic Algorithm (GA), and Particle Swarm optimization (PSO).

KW - Generalized opposition based-learning

KW - Honey Badger Algorithm

KW - Mesh routers placement problem

KW - Wireless mesh networks

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DO - 10.1109/ICAASE56196.2022.9931590

M3 - Conference contribution

AN - SCOPUS:85142258455

T3 - ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings

BT - ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, ICAASE 2022

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ER -

Taleb SM, Meraihi Y, Mirjalili S, Acheli D, Ramdane-Cherif A, Gabis AB. Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks. In ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (ICAASE 2022 - 5th Edition of the International Conference on Advanced Aspects of Software Engineering, Proceedings). doi: 10.1109/ICAASE56196.2022.9931590

Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks

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