Ethanol: A Software-Defined Wireless Networking architecture for IEEE 802.11 networks

Moura, Henrique; Alves, Alisson Rubson; Borges, Jonas R. A.; Macedo, Daniel F.; Vieira, Marcos A. M.

doi:10.1016/j.comcom.2019.10.010

Cited by 23 publications

(6 citation statements)

References 33 publications

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“…Actually, SDN virtualized the network function, for which it can be termed as Network Function Virtualization (NFV). SDN-based network infrastructure Ethanol [57] proposes enabling the access point to attain more control accuracy. In [58], SDN is proposed for IoV, where the SDN part function as a control plane for designing the infrastructure.…”

Section: Infrastructure Concept For Vhmsmentioning

confidence: 99%

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

Rahman

Rahim

Rahman

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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The dependency on vehicles is increasing tremendously due to its excellent transport capacity, fast, effcient, fexible, pleasant journey, minimal physical effort, and substantial economic impact. As a result, the demand for smart and intelligent feature enhancement is growing and becoming a prime concern for maximum productivity based on the current perspective. In this case, the Internet of Everything (IoE) is an emerging concept that can play an essential role in the automotive industry by integrating the stakeholders, process, data, and things via networked connections. But the unavailability of intelligent features leads to negligence about proper maintenance of vehicle vulnerable parts, reckless driving and severe accident, lack of instructive driving, and improper decision, which incurred extra expenses for maintenance besides hindering national economic growth. For this, we proposed a conceptual framework for a central VHMS exploiting IoE-driven Multi-Layer Heterogeneous Networks (HetNet) and a machine learning technique to oversee individual vehicle health conditions, notify the respective ownerdriver real-timely and store the information for further necessary action. This article transparently portrayed an overview of central VHMS and proposed the taxonomy to achieve such an objective. Subsequently, we unveiled the framework for central VHMS, IoE-driven Multi-tire HetNet, with a secure and trustworthy data collection and analytics system. Finally, anticipating this proposition's outcome is immense in the automotive sector. It may motivate the researcher to develop a central intelligent and secure vehicular condition diagnostic system to move this sector towards Industry 4.0.

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Section: Infrastructure Concept For Vhmsmentioning

confidence: 99%

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

Rahman

Rahim

Rahman

et al. 2022

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Nowadays, there are two open alternatives for control of those parameters, namely, 5G-emPOWER 30 and Ethanol. 29 Because of that, the installation of the system would require administrator support. For new deployments, the system could employ plug-and-play techniques to automatically discover controllers as well as compatible APs.…”

Section: Deployment and Evolvabilitymentioning

confidence: 99%

“…In that situation, the SDN controller must also track the destination AP of each flow. SDN‐aware routers using 5G‐emPOWER 30 or Ethanol 29 notify the SDN controller of the point of attachment of each user. Further, if the APs are not SDN‐aware, SDN switches could identify the destination AP by the out port used in their flowtables.…”

Section: The Proposed Qoe‐aware Wi‐fi Management Systemmentioning

confidence: 99%

“…Any southbound SDN interface that slices the wireless medium could be used as control interface. Examples are Ethanol 29 and 5G‐EmPOWER 30 . This work uses a simple, HTTP‐based stateless request–reply interface using REST.…”

Section: The Proposed Qoe‐aware Wi‐fi Management Systemmentioning

confidence: 99%

“…Our proposal requires changes in the AP's code in order to install an SDN‐aware firmware supporting external changes of the queue parameters. Nowadays, there are two open alternatives for control of those parameters, namely, 5G‐emPOWER 30 and Ethanol 29 . Because of that, the installation of the system would require administrator support.…”

Section: The Proposed Qoe‐aware Wi‐fi Management Systemmentioning

confidence: 99%

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Slicing Wi‐Fi links based on QoE video streaming fairness

Oliveira

Macedo

2021

Int J Network Mgmt

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Dynamic Adaptive Streaming over HyperText Transfer Protocol (DASH) video streaming is one of the dominant sources of traffic on the Internet, and this traffic is often delivered to users via Wi-Fi access points. This makes the quality of experience (QoE) of the service susceptible to degradation when the Wi-Fi link is underperforming, and it can also inflict QoE unfairness, creating situations where users connected to the same Wi-Fi network feel different levels of QoE. This article presents a system that improves the QoE fairness of DASH video transmission network slicing in the context of Wi-Fi networks.The proposed system slices the wireless resources unevenly among flows, taking into account the characteristics of the video and the QoE demands for each user. Experimental results show that fairness improves by 56% when compared to an unmanaged network, while the mean QoE is reduced by only 5%.

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AI for Wireless Network Optimization: Challenges and Opportunities

Abusubaih

2021

The Smart Cyber Ecosystem for Sustainable Development

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Ethanol: A Software-Defined Wireless Networking architecture for IEEE 802.11 networks

Cited by 23 publications

References 33 publications

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

Slicing Wi‐Fi links based on QoE video streaming fairness

AI for Wireless Network Optimization: Challenges and Opportunities

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