Airtime Aware Dynamic Network Slicing for Heterogeneous IoT Services in IEEE 802.11ah

Libório, Pedro Paulo; Lam, Chan‐Tong; Ng, Benjamin K.; Guidoni, Daniel L.; Curado, Marília; Villas, Leandro A.

doi:10.1109/wcnc49053.2021.9417414

2021 IEEE Wireless Communications and Networking Conference (WCNC) 2021

DOI: 10.1109/wcnc49053.2021.9417414

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Airtime Aware Dynamic Network Slicing for Heterogeneous IoT Services in IEEE 802.11ah

Pedro Paulo Libório

Chan‐Tong Lam

Benjamin K. Ng

et al.

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2023

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A QoS-aware scheduling with node grouping for IEEE 802.11ah

Ahmed

Hussain

2023

Wireless Netw

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The recent IEEE 802.11ah amendment has proven to be suitable for supporting large-scale devices in Internet of Things (IoT). It is essential to provide a minimum level of Quality of Service (QoS) for critical applications such as industrial automaton and healthcare. In this paper, we propose a QoSaware Medium Access Control (MAC) layer solution to enhance network reliability and reduce critical traffic latency by an adaptive station grouping and a priority traffic scheduling scheme. The proposed grouping scheme calculates the current traffic load and distributes among different RAW groups considering different requirements of the stations. The RAW scheduling scheme further provides priority slot access using a novel backoff scheme. Markov-chain model is developed to study the throughput and latency behaviours for the traffic generated from the critical application. The proposed protocol shows significant delay improvement for priority traffic. The overall throughput performance improves up to 12.7% over the existing RAW grouping scheme.

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A QoS-aware scheduling with node grouping for IEEE 802.11ah

Ahmed

Hussain

2023

Wireless Netw

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show abstract

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Airtime Aware Dynamic Network Slicing for Heterogeneous IoT Services in IEEE 802.11ah

Cited by 1 publication

References 10 publications

A QoS-aware scheduling with node grouping for IEEE 802.11ah

A QoS-aware scheduling with node grouping for IEEE 802.11ah

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