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The future of wireless mesh network in next-generation communication: a perspective overview

The future of wireless mesh network in next-generation communication: a perspective overview
The future of wireless mesh network in next-generation communication: a perspective overview

Wireless mesh network (WMN) which evolves from ad-hoc network is a type of self-healing, self-configuration, and multi-hop wireless network. Without expensive and fixed base stations, WMN can be established fast, easily, and flexibly with low cost. With the fast development of wireless communication, the required data rate and amount increase. As WMN can always provide broad communication access with better scalability, flexibility, and robustness, WMN can still play an important role in future and can bring a wide range of applications in next-generation communication. From the beginning till now, the focus of WMN transfers from sparse connection to intelligent dense networking. The wireless network in future will be more complex with different demands. Considering the features of WMN, this paper provides an overview of WMN from the point of view of next-generation communication. The application scenes including space-air-ground integrated network, Internet of Things, and edge computing are provided. When deploying WMN, the technologies suitable for the demands in next-generation communication, such as blockchain, software defined networking, network functions virtualization, and machine learning are discussed. Further, the upcoming challenges and opportunities in future are also highlighted.

Edge computing, Internet of things, Machine learning, Next-generation communication, Wireless mesh network
1868-6478
1635-1648
Chai, Yuan
acb7d08c-1deb-4d37-bb79-3228e20784e5
Zeng, Xiao-Jun
4a9251eb-f185-4da7-b459-d15f27a41638
Liu, Zixu
1b07df56-a07b-4e78-bebc-38657ca80f76
Chai, Yuan
acb7d08c-1deb-4d37-bb79-3228e20784e5
Zeng, Xiao-Jun
4a9251eb-f185-4da7-b459-d15f27a41638
Liu, Zixu
1b07df56-a07b-4e78-bebc-38657ca80f76

Chai, Yuan, Zeng, Xiao-Jun and Liu, Zixu (2024) The future of wireless mesh network in next-generation communication: a perspective overview. Evolving Systems, 15 (4), 1635-1648. (doi:10.1007/s12530-024-09583-8).

Record type: Article

Abstract

Wireless mesh network (WMN) which evolves from ad-hoc network is a type of self-healing, self-configuration, and multi-hop wireless network. Without expensive and fixed base stations, WMN can be established fast, easily, and flexibly with low cost. With the fast development of wireless communication, the required data rate and amount increase. As WMN can always provide broad communication access with better scalability, flexibility, and robustness, WMN can still play an important role in future and can bring a wide range of applications in next-generation communication. From the beginning till now, the focus of WMN transfers from sparse connection to intelligent dense networking. The wireless network in future will be more complex with different demands. Considering the features of WMN, this paper provides an overview of WMN from the point of view of next-generation communication. The application scenes including space-air-ground integrated network, Internet of Things, and edge computing are provided. When deploying WMN, the technologies suitable for the demands in next-generation communication, such as blockchain, software defined networking, network functions virtualization, and machine learning are discussed. Further, the upcoming challenges and opportunities in future are also highlighted.

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More information

Accepted/In Press date: 3 April 2024
e-pub ahead of print date: 23 April 2024
Published date: August 2024
Keywords: Edge computing, Internet of things, Machine learning, Next-generation communication, Wireless mesh network

Identifiers

Local EPrints ID: 491111
URI: http://eprints.soton.ac.uk/id/eprint/491111
ISSN: 1868-6478
PURE UUID: 0f9870d7-6520-439e-9541-8cc76b0bba9a
ORCID for Zixu Liu: ORCID iD orcid.org/0000-0002-4806-5482

Catalogue record

Date deposited: 12 Jun 2024 17:16
Last modified: 30 Jul 2024 02:05

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Contributors

Author: Yuan Chai
Author: Xiao-Jun Zeng
Author: Zixu Liu ORCID iD

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