Achieving Fairness in IEEE 802.11ah Networks for IoT Applications with Different Requirements

Lakshmi, L. Rajya; Sikdar, Biplab

doi:10.1109/icc.2019.8761401

Cited by 10 publications

(12 citation statements)

References 6 publications

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“…Integer programming is used to optimize the performance of IEEE 802.11ah in terms of energy efficiency [25], [26], throughput [27], [28], channel utilization [29] and hidden node mitigation [30], [31]. An integer nonlinear programming approach is employed for optimizing energy efficiency by taking into account traffic demands with even distribution of all RAW groups [25].…”

Section: Related Workmentioning

confidence: 99%

“…A multi-objective optimization problem that addresses throughput maximization while minimizing unfairness across RAWs (i.e. grouping stations with similar traffic requirements) is proposed in [28]. Additionally, [28] formulated an integer problem for contention window size selection to maintain fairness among the nodes in a RAW.…”

Section: Related Workmentioning

confidence: 99%

“…grouping stations with similar traffic requirements) is proposed in [28]. Additionally, [28] formulated an integer problem for contention window size selection to maintain fairness among the nodes in a RAW. Furthermore, an integer programming model for load-balanced grouping problem that optimizes channel utilization of each group is presented in [29].…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

2021

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Industry 4.0 is being enabled by a number of new wireless technologies that emerged in the last decade, aiming to ultimately alleviate the need for wires in industrial use cases. However, wireless solutions are still neither as reliable nor as fast as their wired counterparts. Closed loop communication, a representative industrial communication scenario, requires high reliability (over 99%) and hard real-time operation, having very little tolerance for delays. Additionally, connectivity must be provided over an entire industrial side extending across hundreds of meters. IEEE 802.11ah fits this puzzle in terms of data rates and range, but it does not guarantee deterministic communication by default. Its Restricted Access Window (RAW), a new configurable medium access feature, enables flexible scheduling in dense, large-scale networks. However, the standard does not define how to configure RAW. The existing RAW configuration strategies assume uplink traffic only and are dedicated exclusively to sensors nodes. In this article, we present an integer nonlinear programming problem formulation for optimizing RAW configuration in terms of latency in closed loop communication between sensors and actuators, taking into account both uplink and downlink traffic. The model results in less than 1% of missed deadlines without any prior knowledge of the network parameters in heterogeneous time-changing networks.INDEX TERMS IEEE 802.11ah, industrial Internet of Things (IIoT), optimization, restricted access window (RAW), Wi-Fi HaLow, wireless automation.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

2021

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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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“…The group of high-priority devices achieves longer access time than the group with low-priority devices. To minimize unfairness across groups, a fair scheduling problem based on the contention window size selection of nodes is formulated as an optimization problem in [14]. A dynamic frequency allocation to improve channel utilization and to reduce contention in a base service set (BSS), the area where devices communicate with each other via the AP, is suggested in [15].…”

Section: Introductionmentioning

confidence: 99%

Scalability Improvement of IEEE 802.11ah IoT Networks

Naghzali

Kazeminia

Mehrjoo

2022

Wireless Pers Commun

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In this paper, we propose a non-orthogonal multiple access (NOMA) based grouping method for IEEE 802.11ah, a promising platform for the internet of things (IoT). The grouping method improves the scalability of IoT networks, by reducing collisions in the access points (APs). The proposed method puts those IoT devices (IoT-Ds) whose channel gains are far enough from each other, i.e., who satisfy NOMA constraints, in the same group. Therefore, using successive interference cancellation (SIC), the AP is able to decode the simultaneous signal transmissions from IoT-Ds in a group. To assign IoT-Ds into groups and determine their transmission power, we formulate a total throughput maximization problem as a joint optimal grouping and power allocation problem, which is a non-convex mixed-integer programming problem. We convert it to a convex problem using quadratic fractional programming (QFP), and then we solve it using augmented Lagrange multiplier (ALM) method. Moreover, to reduce the complexity of the solution, we propose a fast grouping method to allocate power to each group in parallel. Simulation results show that the proposed methods have outstanding performance compared to conventional association identifier (AID)-based grouping method; besides, scalability of the network in terms of throughput, power consumption and channel utilization improves dramatically because of the collision reduction of IoT-Ds, which is achieved by deploying NOMA and SIC. Furthermore, the fast grouping method decreases the computational complexity greatly at the expense of a small reduction in network performance.

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Achieving Fairness in IEEE 802.11ah Networks for IoT Applications with Different Requirements

Cited by 10 publications

References 6 publications

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

Enabling Wireless Closed Loop Communication: Optimal Scheduling Over IEEE 802.11ah Networks

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

Scalability Improvement of IEEE 802.11ah IoT Networks

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