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Software Defined Wireless Mesh Network Flat Distribution Control Plane

Author

Listed:
  • Hisham Elzain

    (College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China)

  • Yang Wu

    (College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China)

Abstract

Wireless Mesh Networks (WMNs), have a potential offering relatively stable Internet broadband access. The rapid development and growth of WMNs attract ISPs to support users’ coverage anywhere anytime. To achieve this goal network architecture must be addressed carefully. Software Defined Networking (SDN) proposes new network architecture for wired and wireless networks. Software Defined Wireless Networking (SDWN) has a great potential to increase efficiency, ease the complexity of control and management, and accelerate technology innovation rate of wireless networking. An SDN controller is the core component of an SDN network. It needs to have updated reports of the network status change, as in network topology and quality of service (QoS) in order to effectively configure and manage the network it controls. In this paper, we propose Flat Distributed Software Defined Wireless Mesh Network architecture where the controller aggregates entire topology discovery and monitors QoS properties of extended WMN nodes using Link Layer Discovery Protocol (LLDP) protocol, which is not possible in multi-hop ordinary architectures. The proposed architecture has been implemented on top of POX controller and Advanced Message Queuing Protocol (AMQP) protocol. The experiments were conducted in a Mininet-wifi emulator, the results present the architecture control plane consistency and two application cases: topology discovery and QoS monitoring. The current results push us to study QoS-routing for video streaming over WMN.

Suggested Citation

  • Hisham Elzain & Yang Wu, 2019. "Software Defined Wireless Mesh Network Flat Distribution Control Plane," Future Internet, MDPI, vol. 11(8), pages 1-17, July.
  • Handle: RePEc:gam:jftint:v:11:y:2019:i:8:p:166-:d:251725
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    Cited by:

    1. ȚÎȚU Aurel Mihail & NIȚĂ Nicoleta Mădălina, 2023. "A Knowledge Management Guideline: Identifying And Quantifying The Knowledge Level Of A Team That Works For A Software Engineering Project," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(2), pages 59-66, December.

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