Title:	An analytical model for the aggregate throughput of IEEE 802.11ah networks under the restricted access window mechanism
Authors:	Soares, Stephanie Miranda Carvalho, Marcelo Menezes de
metadata.dc.contributor.email:	mailto:stephanie.miranda@aluno.unb.br mailto:mmcarvalho@ene.unb.br
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-4360-4069 https://orcid.org/0000-0001-9897-912X
Assunto::	Internet das Coisas (IoT) Redes sem fio IEEE 802.11 (Normas) Sistemas de comunicação sem fio
Issue Date:	26-Jul-2022
Publisher:	MDPI
Citation:	SOARES, Stephanie M.; CARVALHO, Marcelo M. An analytical model for the aggregate throughput of IEEE 802.11ah networks under the restricted access window mechanism. Sensors, Basel, v. 22, n. 15, art. 5561, 2022. DOI 10.3390/s22155561. Disponível em: https://www.mdpi.com/1424-8220/22/15/5561. Acesso em: 16 nov. 2022.
Abstract:	The IEEE 802.11ah is an amendment to the IEEE 802.11 standard to support the growth of the Internet of Things (IoT). One of its main novelties is the restricted access window (RAW), which is a channel access feature designed to reduce channel contention by dividing stations into RAW groups. Each RAW group is further divided into RAW slots, and stations only attempt channel access during the RAW slot they were assigned to. In this paper, we propose a discrete-time Markov chain model to evaluate the average aggregate throughput of IEEE 802.11ah networks using the RAW mechanism under saturated traffic and ideal channel conditions. The proposed analytical model describes the behavior of an active station within its assigned RAW slot. A key aspect of the model is the consideration of the event of RAW slot time completion during a station’s backoff operation. We study the average aggregate network throughput for various numbers of RAW slots and stations in the network. The numerical results derived from our analytical model are compared to computer simulations based on an IEEE 802.11ah model developed for the ns-3 simulator by other researchers, and its performance is also compared to two other analytical models proposed in the literature. The presented results indicate that the proposed analytical model reaches the closest agreement with independently-derived computer simulations.
Licença::	This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: https://www.mdpi.com/1424-8220/22/15/5561. Acesso em: 16 nov. 2022.
DOI:	https://doi.org/10.3390/s22155561
Appears in Collections:	Artigos publicados em periódicos e afins

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