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Titre: | Nodes placement in wireless mesh networks using optimization approaches : a survey |
Auteur(s): | Mekhmoukh Taleb, Sylia Meraihi, Yassine Benmessaoud Gabis, Asma Mirjalili, Seyedali Ramdane-Cherif, Amar |
Mots-clés: | Artificial intelligence Nodes placement in WMNs Optimization WMNs planning |
Date de publication: | 2022 |
Editeur: | Springer |
Collection/Numéro: | Neural Computing and Applications/ (2022);pp. 1-37 |
Résumé: | Wireless mesh networks (WMNs) have grown substantially and instigated numerous deployments during the previous decade thanks to their simple implementation, easy network maintenance, and reliable service coverage. Despite these proprieties, the nodes placement of such networks presents many challenges for network operators. In this paper, we present a survey of optimization approaches implemented to address the WMNs nodes placement problem. These approaches are classified into four main categories: exact approaches, heuristic approaches, meta-heuristic approaches, and hybrid approaches. For each category, a critical analysis is drawn according to targeted objectives, considered constraints, type of positioned nodes (Mesh Router and Mesh Gateway), location (discrete or continuous), and environment (static or dynamic). In the end, several new key search areas for WMNs nodes placement are suggested |
URI/URL: | https://link.springer.com/article/10.1007/s00521-022-06941-y DOI 10.1007/s00521-022-06941-y http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7686 |
ISSN: | 09410643 |
Collection(s) : | Publications Internationales
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