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Article Dans Une Revue Neural Computing and Applications Année : 2022

Nodes placement in wireless mesh networks using optimization approaches: a survey

Sylia Mekhmoukh Taleb
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Yassine Meraihi
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Asma Gabis
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Seyedali Mirjalili

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.
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Dates et versions

hal-03673647 , version 1 (20-05-2022)

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Sylia Mekhmoukh Taleb, Yassine Meraihi, Asma Gabis, Seyedali Mirjalili, Amar Ramdane-Cherif. Nodes placement in wireless mesh networks using optimization approaches: a survey. Neural Computing and Applications, 2022, 34 (7), pp.5283-5319. ⟨10.1007/s00521-022-06941-y⟩. ⟨hal-03673647⟩
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