LEAF: Improving Handoff Flexibility of IEEE 802.11 Networks With an SDN-Based Virtual Access Point Framework

Mobile devices’ popularization has brought several new applications to communication networks. As we move into an increasingly denser scenario, problems such as collisions between transmissions and unbalanced load become more pronounced. Moreover, while station-based handoff is inefficient to reduce these issues, network-wide handover decisions might provide better network resource management. This paper proposes LEAF, an access point virtualization solution based on Software Defined Networking to enable station (STA) handover conducted by the network, based on a global scope. Unlike other solutions in the literature, our proposal fully supports multichannel migrations through the IEEE 802.11h Channel Switch Announcement without restricting the channel utilization by the access points. To demonstrate the feasibility of such an approach, we present experimental data regarding the behavior of several different devices in face of this mechanism. We also evaluate our complete virtualization solution, which reveals that the handoff of STAs did not lead to significant packet losses or delays in STAs’ connections, while providing a foundation to improve network’s self-management and flexibility, allowing association control and load balancing tasks to be executed on top of our solution.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2024-08-09
DOI
https://doi.org/10.1109/tnsm.2024.3441390
Citations
1
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.35

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article

LEAF: Improving Handoff Flexibility of IEEE 802.11 Networks With an SDN-Based Virtual Access Point Framework

Juan Lucas Vieira, Diego Passos, Daniel Mossé
1 citations
IEEE Transactions on Network and Service Management
Wireless Networks and Protocols
0.35
article

LEAF: Improving Handoff Flexibility of IEEE 802.11 Networks With an SDN-Based Virtual Access Point Framework

Juan Lucas Vieira, Diego Passos, Daniel Mossé
article en
1 citations

Abstract

Mobile devices’ popularization has brought several new applications to communication networks. As we move into an increasingly denser scenario, problems such as collisions between transmissions and unbalanced load become more pronounced. Moreover, while station-based handoff is inefficient to reduce these issues, network-wide handover decisions might provide better network resource management. This paper proposes LEAF, an access point virtualization solution based on Software Defined Networking to enable station (STA) handover conducted by the network, based on a global scope. Unlike other solutions in the literature, our proposal fully supports multichannel migrations through the IEEE 802.11h Channel Switch Announcement without restricting the channel utilization by the access points. To demonstrate the feasibility of such an approach, we present experimental data regarding the behavior of several different devices in face of this mechanism. We also evaluate our complete virtualization solution, which reveals that the handoff of STAs did not lead to significant packet losses or delays in STAs’ connections, while providing a foundation to improve network’s self-management and flexibility, allowing association control and load balancing tasks to be executed on top of our solution.

IEEE Transactions on Network and Service ManagementVol. 21(6)
Universidade Federal Fluminense (BR), University of Pittsburgh (US), Universidade Politécnica de Lisboa (PT)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Wireless Networks and Protocols
0.35
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LEAF: Improving Handoff Flexibility of IEEE 802.11 Networks With an SDN-Based Virtual Access Point Framework — Juan Lucas Vieira, Diego Passos, et al. · IEEE Transactions on Network and Service Management (2024) | TGRS Research Map | TGRS