The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
IEEE 802.11ah é uma especificação que está sendo desenvolvida para operação isenta de licença abaixo de 1 GHz e se destina a fornecer serviços de comunicação de baixa potência e área ampla (LPWA) e oferecer suporte a recursos de Internet das Coisas (IoT), como redes de grande escala e alcance de transmissão estendido. No entanto, esses recursos também tornam as redes 802.11ah altamente suscetíveis à contenção de canal e ao problema de nó oculto (HNP). Para resolver os problemas, o Grupo de Trabalho 11ah propôs um mecanismo de Janela de Acesso Restrito (RAW). Apresenta excelente desempenho no alívio da contenção de canais, mas seu efeito na resolução da PNH é insatisfatório. Neste artigo, propomos um algoritmo de agrupamento de nós ocultos (HNGA) simples e eficaz baseado em IEEE 802.11ah RAW. O algoritmo coleta informações de nós ocultos aproveitando o processo de associação 802.11 e, em seguida, executa um agrupamento uniforme em dois estágios para evitar colisões de nós ocultos (HNCs). O desempenho do algoritmo proposto é avaliado em comparação com outros esquemas existentes em situação de nó oculto. Os resultados mostram que nosso algoritmo proposto elimina a maioria dos pares de nós ocultos dentro de um grupo RAW com baixa penalidade de sobrecarga, melhorando assim o desempenho da rede. Além disso, o algoritmo é imune a HNCs causados por transmissões entre limites de slots.
Ruoyu WANG
Chinese Academy of Sciences
Min LIN
Chinese Academy of Sciences
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Ruoyu WANG, Min LIN, "Restricted Access Window Based Hidden Node Problem Mitigating Algorithm in IEEE 802.11ah Networks" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 10, pp. 2162-2171, October 2018, doi: 10.1587/transcom.2017EBP3462.
Abstract: IEEE 802.11ah is a specification being developed for sub-1GHz license-exempt operation and is intended to provide Low Power Wide Area (LPWA) communication services and support Internet of Things (IoT) features such as large-scale networks and extended transmission range. However, these features also make the 802.11ah networks highly susceptible to channel contention and hidden node problem (HNP). To address the problems, the 11ah Task Group proposed a Restricted Access Window (RAW) mechanism. It shows outstanding performance in alleviating channel contention, but its effect on solving HNP is unsatisfactory. In this paper, we propose a simple and effective hidden node grouping algorithm (HNGA) based on IEEE 802.11ah RAW. The algorithm collects hidden node information by taking advantage of the 802.11 association process and then performs two-stage uniform grouping to prevent hidden node collisions (HNCs). Performance of the proposed algorithm is evaluated in comparison with other existing schemes in a hidden node situation. The results show that our proposed algorithm eliminates most of hidden node pairs inside a RAW group with low overhead penalty, thereby improving the performance of the network. Moreover, the algorithm is immune to HNCs caused by cross slot boundary transmissions.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3462/_p
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@ARTICLE{e101-b_10_2162,
author={Ruoyu WANG, Min LIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Restricted Access Window Based Hidden Node Problem Mitigating Algorithm in IEEE 802.11ah Networks},
year={2018},
volume={E101-B},
number={10},
pages={2162-2171},
abstract={IEEE 802.11ah is a specification being developed for sub-1GHz license-exempt operation and is intended to provide Low Power Wide Area (LPWA) communication services and support Internet of Things (IoT) features such as large-scale networks and extended transmission range. However, these features also make the 802.11ah networks highly susceptible to channel contention and hidden node problem (HNP). To address the problems, the 11ah Task Group proposed a Restricted Access Window (RAW) mechanism. It shows outstanding performance in alleviating channel contention, but its effect on solving HNP is unsatisfactory. In this paper, we propose a simple and effective hidden node grouping algorithm (HNGA) based on IEEE 802.11ah RAW. The algorithm collects hidden node information by taking advantage of the 802.11 association process and then performs two-stage uniform grouping to prevent hidden node collisions (HNCs). Performance of the proposed algorithm is evaluated in comparison with other existing schemes in a hidden node situation. The results show that our proposed algorithm eliminates most of hidden node pairs inside a RAW group with low overhead penalty, thereby improving the performance of the network. Moreover, the algorithm is immune to HNCs caused by cross slot boundary transmissions.},
keywords={},
doi={10.1587/transcom.2017EBP3462},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - Restricted Access Window Based Hidden Node Problem Mitigating Algorithm in IEEE 802.11ah Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2162
EP - 2171
AU - Ruoyu WANG
AU - Min LIN
PY - 2018
DO - 10.1587/transcom.2017EBP3462
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2018
AB - IEEE 802.11ah is a specification being developed for sub-1GHz license-exempt operation and is intended to provide Low Power Wide Area (LPWA) communication services and support Internet of Things (IoT) features such as large-scale networks and extended transmission range. However, these features also make the 802.11ah networks highly susceptible to channel contention and hidden node problem (HNP). To address the problems, the 11ah Task Group proposed a Restricted Access Window (RAW) mechanism. It shows outstanding performance in alleviating channel contention, but its effect on solving HNP is unsatisfactory. In this paper, we propose a simple and effective hidden node grouping algorithm (HNGA) based on IEEE 802.11ah RAW. The algorithm collects hidden node information by taking advantage of the 802.11 association process and then performs two-stage uniform grouping to prevent hidden node collisions (HNCs). Performance of the proposed algorithm is evaluated in comparison with other existing schemes in a hidden node situation. The results show that our proposed algorithm eliminates most of hidden node pairs inside a RAW group with low overhead penalty, thereby improving the performance of the network. Moreover, the algorithm is immune to HNCs caused by cross slot boundary transmissions.
ER -