Data Rate-Based Grouping to Resolve Performance Anomaly of Multi-Rate IEEE 802.11ah IoT Networks

Mahesh, Miriyala; Pavan, Badarla Sri; Harigovindan, V. P.

doi:10.1109/lnet.2020.2998469

Cited by 18 publications

(6 citation statements)

References 10 publications

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“…To resolve the anomaly, the authors in [31] proposed a MAC layer protocol for air-time fairness, where each STA runs numerous instances of conventional DCF BO process. Targeting IEEE 802.11ah multi-rate networks [32], [33], the authors of [32] proposed an analytical model where the STA after counting down to unity, checks for sufficient residual time for transmission of the frame and in case of insufficient residual time, STA enters the defer state. Also, the authors proposed a data rate grouping (DRG) scheme to solve the anomaly.…”

Section: Related Workmentioning

confidence: 99%

“…Also, the authors proposed a data rate grouping (DRG) scheme to solve the anomaly. In [33], the authors provided an analytical model for IEEE 802.11ah multi-rate network and proposed a novel grouping scheme to overcome the anomaly in dense networks.…”

Section: Related Workmentioning

confidence: 99%

“…In such a case, the STAs must reset the BO counter and restart from the start of the next allocated RAW slot. The analytical models developed by the authors of [11], [13], [16]- [20], [23]- [27], [33] did not consider this important aspect of RAW mechanism, which is the reset and renewal of BO process at the beginning of RAW slot as per the IEEE 802.11ah standard [7]. Also, in [21] and [22], the authors proposed the analytical models for single-rate IEEE 802.11ah network; but neither of these two works provided a closed-form expression of throughput.…”

Section: Related Workmentioning

confidence: 99%

“…The analysis of achievable data rate is provided in this subsection for IEEE 802.11ah multi-rate network with macro deployment scenario [33], [35]. Here, the link budget for power received at the receiver STA of data rate C x |x ∈ [1, c] can be expressed as,…”

Section: A Computation Of Achievable Data Rate Analysismentioning

confidence: 99%

See 3 more Smart Citations

Restricted Access Window-Based Resource Allocation Scheme for Performance Enhancement of IEEE 802.11ah Multi-Rate IoT Networks

Badarla¹,

Harigovindan

2021

IEEE Access

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is introduced to support Internet of things (IoT) applications. In this paper, we consider the IEEE 802.11ah multi-rate IoT network where stations (STAs) contend for channel access using group-based restricted access window (RAW) mechanism with the default uniform grouping scheme. RAW divides the channel time into various slots, STAs into different groups and assigns a dedicated RAW slot to each group of STAs. As uniform grouping scheme performs grouping on random basis, each group will comprise of distinct data rate STAs, which leads to severe degradation of throughput because of performance anomaly. We propose a novel RAW based resource allocation (RAW-RA) scheme which groups the STAs in a multi-rate IoT network based on data rates and allocates the RAW slots to the groups proportional to their data rates. We also develop an accurate analytical model with unsaturated traffic conditions for calculating the throughput and energy efficiency of the IEEE 802.11ah multi-rate IoT network with the RAW mechanism. From the analytical results, it is evident that the proposed RAW-RA scheme can resolve the performance anomaly as well as significantly improve the aggregate throughput and energy efficiency of the IoT network. Finally, all the analytical results are validated with extensive simulation studies.INDEX TERMS Internet of things, IEEE 802.11ah, performance anomaly, restricted access window based resource allocation, Wi-Fi HaLow.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: A Computation Of Achievable Data Rate Analysismentioning

confidence: 99%

See 2 more Smart Citations

Restricted Access Window-Based Resource Allocation Scheme for Performance Enhancement of IEEE 802.11ah Multi-Rate IoT Networks

Badarla¹,

Harigovindan

2021

IEEE Access

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“…Therefore, STA grouping methods have to be carefully considered. So far, several grouping methods have been proposed [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. One of the most straightforward methods for the STA grouping is a random grouping method, in which STAs are randomly distributed to STA groups so that every STA group accommodates an equal number of STAs [3,4].…”

Section: Introductionmentioning

confidence: 99%

A station grouping method for IEEE 802.11ah networks with various types of network non-uniformity

Nishida

Shimokawa

Sanada

et al. 2023

NOLTA

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In IoT networks, mitigation of channel access contention is one of the crucial requirements due to a massive number of devices connecting to the shared communication channel. In order to satisfy this requirement, IEEE 802.11ah introduces the restricted access window (RAW) mechanism which divides wireless stations (STAs) into several STA groups and allocates a dedicated RAW slot to each STA group. Since STA grouping plays an important role in this mechanism, several grouping methods have been proposed. However, the IoT networks have various network non-uniformity such as in STA deployment. Although the existing method cannot handle this non-uniform characteristic enough to maintain fairness among STAs. We take up non-uniform STA deployment, heterogeneous traffic patterns and multiple data rates at STAs as the potential network non-uniformity. This paper proposes a sector-based grouping method with adjustable central angles, which can handle all three factors of the network non-uniformity. The performance for the proposed method is evaluated through computer simulation to show that the proposed method can improve the network performance even when STAs with various traffic patterns and data rates are deployed non-uniformly.

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Industrial Internet of Things: Smart Factory

Gao

Zhuang

2021

Wireless Networks

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Data Rate-Based Grouping to Resolve Performance Anomaly of Multi-Rate IEEE 802.11ah IoT Networks

Cited by 18 publications

References 10 publications

Restricted Access Window-Based Resource Allocation Scheme for Performance Enhancement of IEEE 802.11ah Multi-Rate IoT Networks

Restricted Access Window-Based Resource Allocation Scheme for Performance Enhancement of IEEE 802.11ah Multi-Rate IoT Networks

A station grouping method for IEEE 802.11ah networks with various types of network non-uniformity

Industrial Internet of Things: Smart Factory

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