Software-defined networking (SDN) has been envisioned as the next generation network paradigm in order to enable network administration and optimization to be carried out centrally while utilizing global network data. This study reviews how to apply the SDN idea to a wireless mesh network that is widely used by many applications. It also focusses on the Media Access Control (MAC) protocols used in Mesh Wi-Fi networks, and how they affect the performance of the network. which are Time Division Multiple Access (TDMA)/MAC protocol and Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) MAC protocol, A comparison between the two protocols is made in terms of throughput, latency, and energy consumption. Then some of the challenges that face both protocols are discussed. We begin by outlining the Software-Defined Wireless Mesh Network (SD-WMN) architecture. Then, stating related works at the same approach showing differences between them. And addressing many pressing difficulties. routing problems. Topology discovery services, testbed environment and Load balancing are some of the routing challenges that WMNs have deal with. To overcome these difficulties, it is possible to utilize a distributed wireless mesh protocol to control how the interfaces are physically connected. WMNs must be made programmable, enabling alterations of conventional methods to be specified and carried out using computer programs. This problem may be handled by including Software Defined Networking (SDN) architecture.

Topics
Computer programming, Energy consumption, Treaties, Review
1.
Gures
,
E.
,
Shayea
,
I.
,
Ergen
,
M.
,
Azmi
,
M. H.
, &
El-Saleh
,
A. A.
 (
2022
).
Machine Learning-Based Load Balancing Algorithms in Future Heterogeneous Networks: A Survey
.
IEEE Access
,
10
,
37689
–
37717
.
https://doi.org/10.1109/ACCESS.2022.3161511
Google Scholar
 
2.
Banafaa
,
M.
,
Shayea
,
I.
,
Din
,
J.
,
Azmi
,
M. H.
,
Alashbi
,
A.
,
Daradkeh
,
Y. I.
, &
Alhammadi
,
A.
 (
2022
).
6G mobile communication technology: Requirements, targets, applications, challenges, advantages, and opportunities
.
Alexandria Engineering Journal.
Google Scholar
 
3.
A.
Detti
,
C.
Pisa
,
S.
Salsano
, and
N.
Blefari-Melazzi
, “
Wireless Mesh Software Defined Networks (wmSDN
),”
IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
.
IEEE
, Oct.
2013
.
Google Scholar
 
4.
A.
Langar
,
R. Amokrane R.
Boutabayz
, and
G.
Pujolle
, “
Online flow-based energy efficient management in Wireless Mesh Networks
,”
IEEE Global Communications Conference (GLOBECOM)
.
IEEE
, Dec.
2013
.
Google Scholar
 
5.
M.
Labraoui
,
C.
Chatzinakis
,
M. M.
Boc
, and
A.
Fladenmuller
.
On addressing mobility issues in wireless mesh networks using software-defined networking
.
Eighth International Conference on Ubiquitous and Future Networks (ICUFN)
, pages
903
–
908
, July
2016
.
Google Scholar
 
6.
Y.
Peng
,
L.
Guo
,
Q.
Deng
,
Z.
Ning
, and
L.
Zhang
, “
A Novel Hybrid Routing Forwarding Algorithm in SDN Enabled Wireless Mesh Networks,” IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems
.
IEEE
, Aug.
2015
.
7.
P.
Shome
,
Muxi
Yan
,
S. M.
Najafabad
,
N.
Mastronarde
, and
A.
Sprintson
, “CrossFlow: A cross-layer architecture for SDR using SDN principles,”
IEEE Conference on Network Function Virtualization and Software Defined Network (NFV-SDN)
.
IEEE
, Nov.
2015
.
Google Scholar
 
8.
D. B.
Rawat
 and
S. R.
Reddy
, “
Software Defined Networking Architecture, Security and Energy Efficiency: A Survey
,”
IEEE Communications Surveys & Tutorials
, vol.
19
, no.
1
. Institute of Electrical and Electronics Engineers (IEEE), pp.
325
–
346
, 2017
https://doi.org/10.1109/COMST.2016.2618874
9.
M.
Corici
,
B.
Reichel
,
B.
Bochow
, and
T.
Magedanz
, “An SDN-based solution for increasing flexibility and reliability of dedicated network environments,”
IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)
.
IEEE
, Sep.
2016
.
10.
R.
Odarchenko
,
D.
Serhii
,
O.
Oksiuk
, and
L.
Dakova
, “Software-Controlled Network (SDN) Reliability Calculation,”
International Scientific-Practical Conference Problems of Infocommunications
.
Science and Technology. IEEE
, Oct.
2018
.
11.
J.
Zhang
,
Y.
Wang
,
D.
Kang
, and
L.
Yang
, “
Design and implementation of roaming in wireless mesh network based on SDN
,”
IEEE 17th International Conference on Communication Technology (ICCT)
.
IEEE
, Oct.
2017
.
Google Scholar
 
12.
D. B.
Rawat
 and
S. R.
Reddy
, “Software Defined Networking Architecture, Security and Energy Efficiency: A Survey,”
IEEE Communications Surveys & Tutorials
,
Institute of Electrical and Electronics Engineers (IEEE),
pp.
325
–
346
,
2017
.
Google Scholar
 
13.
Seawon
Koh
,
Junho
Kim
, and
Sungwon
Lee
, “A proposal of OpenFlow controller to improve transfer rate in mesh network,” 2017
International Conference on Information Networking (ICOIN).
IEEE
,
2017
.
Google Scholar
 
14.
D.
Sajjadi
,
R.
Ruby
,
M.
Tanha
, and
J.
Pan
, “Fine-grained access provisioning via joint gateway selection and flow routing on SDN-aware Wi-Fi mesh networks,”
2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).
IEEE
, Oct. 2017.
15.
U.
Ashraf
, “Placing controllers in software-defined wireless mesh networks,”
2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
.
IEEE
, Mar.
2018
.
16.
M.
Bano
,
A.
Qayyum
,
R. N.
Bin Rais
, and
S. S. A.
Gilani
, “Soft-Mesh: A Robust Routing Architecture for Hybrid SDN and Wireless Mesh Networks,”
IEEE Access
, vol. 9.
Institute of Electrical and Electronics Engineers (IEEE),
pp.
87715
–
87730
,
2021
.
Google Scholar
 
17.
M.
Rademacher
,
K.
Jonas
,
F.
Siebertz
,
A.
Rzyska
,
M.
Schlebusch
, and
M.
Kessel
, “Software-Defined Wireless Mesh Networking: Current Status and Challenges,”
The Computer Journal
, vol. 60, no. 10.
Oxford University Press (OUP)
, pp.
1520
–
1535
, Jul. 13,
2017
.
Google Scholar
 
18.
D. B.
Rawat
 and
S. R.
Reddy
, “Software Defined Networking Architecture, Security and Energy Efficiency: A Survey,”
IEEE Communications Surveys & Tutorials
, vol. 19, no. 1.
Institute of Electrical and Electronics Engineers (IEEE
), pp.
325
–
346
,
2017
.
Google Scholar
 
19.
A.
Jalili
,
H.
Nazari
,
S.
Namvarasl
, and
M.
Keshtgari
, “A comprehensive analysis on control plane deployment in SDN: In-band versus out-of-band solutions,”
2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI)
.
IEEE
, Dec.
2017
20.
M.
Rademacher
,
K.
Jonas
,
F.
Siebertz
,
A.
Rzyska
,
M.
Schlebusch
, and
M.
Kessel
, “Software-Defined Wireless Mesh Networking: Current Status and Challenges,”
The Computer Journal
, vol. 60, no. 10.
Oxford University Press (OUP
), pp.
1520
–
1535
, Jul. 13,
2017
.
Google Scholar
 
21.
C.-Y.
Li
,
L.-H.
Yen
,
K.-H.
Chi
, and
C.-C.
Tseng
, “One-Pass In-Band Automatic Bootstrapping for OpenFlow Switches,”
IEEE Access
, vol. 9.
Institute of Electrical and Electronics Engineers (IEEE
), pp.
153349
–
153359
,
2021
.
Google Scholar
 
22.
M.
Rademacher
,
K.
Jonas
,
F.
Siebertz
,
A.
Rzyska
,
M.
Schlebusch
, and
M.
Kessel
, “Software-Defined Wireless Mesh Networking: Current Status and Challenges,”
The Computer Journal
, vol. 60, no. 10.
Oxford University Press (OUP
), pp.
1520
–
1535
, Jul. 13,
2017
.
Google Scholar
 
23.
C.-Y.
Li
,
L.-H.
Yen
,
K.-H.
Chi
, and
C.-C.
Tseng
, “One-Pass In-Band Automatic Bootstrapping for OpenFlow Switches,”
IEEE Access
, vol. 9.
Institute of Electrical and Electronics Engineers (IEEE
), pp.
153349
–
153359
,
2021
.
Google Scholar
 
24.
A.
Jalili
,
H.
Nazari
,
S.
Namvarasl
, and
M.
Keshtgari
, “A comprehensive analysis on control plane deployment in SDN: In-band versus out-of-band solutions,”
2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI)
.
IEEE
, Dec.
2017
Google Scholar
 
25.
M.
Rademacher
,
K.
Jonas
,
F.
Siebertz
,
A.
Rzyska
,
M.
Schlebusch
, and
M.
Kessel
, “Software-Defined Wireless Mesh Networking: Current Status and Challenges,”
The Computer Journal
, vol. 60, no. 10.
Oxford University Press (OUP
), pp.
1520
–
1535
, Jul. 13,
2017
.
Google Scholar
 
26.
H.
Yang
,
B.
Chen
, and
P.
Fu
, “OpenFlow-Based Load Balancing for Wireless Mesh Network,”
Cloud Computing and Security
.
Springer International Publishing
, pp.
368
–
379
,
2015
.
Google Scholar
 
27.
R.
Grezo
 and
M.
Nagy
, “Network traffic measurement and management in software defined networks,”
2017 3rd IEEE International Conference on Computer and Communications (bCCC)
.
IEEE
, Dec
2017
.
This content is only available via PDF.
© 2024 Author(s). Published under an exclusive license by AIP Publishing.
2024
Author(s)
You do not currently have access to this content.