TY - JOUR
T1 - Nodes placement in wireless mesh networks using optimization approaches
T2 - a survey
AU - Taleb, Sylia Mekhmoukh
AU - Meraihi, Yassine
AU - Gabis, Asma Benmessaoud
AU - Mirjalili, Seyedali
AU - Ramdane-Cherif, Amar
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Nodes placement in WMNs
KW - Optimization
KW - WMNs planning
UR - http://www.scopus.com/inward/record.url?scp=85124742962&partnerID=8YFLogxK
U2 - 10.1007/s00521-022-06941-y
DO - 10.1007/s00521-022-06941-y
M3 - Review article
AN - SCOPUS:85124742962
JO - Neural Computing and Applications
JF - Neural Computing and Applications
SN - 0941-0643
ER -