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

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Taleb, Sylia Mekhmoukh
Meraihi, Yassine
Gabis, Asma Benmessaoud
Mirjalili, Seyedali
Ramdane-Cherif, Amar
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2022
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Abstract

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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Neural Computing and Applications

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34

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7

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Cognitive and computational psychology

Engineering design

Optimisation

Artificial intelligence

Computer vision and multimedia computation

Machine learning

Science & Technology

Technology

Computer Science, Artificial Intelligence

Computer Science

WMNs planning

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Taleb, SM; Meraihi, Y; Gabis, AB; Mirjalili, S; Ramdane-Cherif, A, Nodes placement in wireless mesh networks using optimization approaches: a survey, Neural Computing and Applications, 2022, 34 (7), pp. 5283-5319

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