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
Este artigo propõe um método adaptativo de configuração de probabilidade de ocorrência de chamada (COP) para um problema de consenso baseado em Slotted-ALOHA. Os agentes individuais no problema de consenso focado controlam-se de maneira distribuída com base nas informações parciais do sistema de controle geral que podem ser recebidas apenas dos agentes vizinhos. A fim de realizar um problema de consenso confiável baseado em comunicações sem fio, temos que considerar diversas restrições causadas pela natureza das comunicações sem fio, tais como erros de comunicação, cobertura, capacidade, interferência multiusuário, half-duplex e assim por diante. Este trabalho investiga primeiro os impactos das restrições de comunicação sem fio, especialmente restrições de cobertura de comunicação, half-duplex e interferência de acesso múltiplo, na qualidade do controle. Para mitigar o impacto da restrição de acesso múltiplo, propomos um método adaptativo de configuração do COP que altera o COP correspondente aos estados de comunicação e controle. O slotted-ALOHA baseado em COP adaptativo proposto precisa de informações sobre o número de agentes vizinhos em seu próprio e de agentes vizinhos, mas ainda pode funcionar de maneira distribuída. Simulações computacionais mostram que o sistema proposto pode alcançar melhor desempenho de convergência em comparação com o caso do sistema baseado em COP fixo.
Koji ISHII
Kagawa University
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Koji ISHII, "Slotted-ALOHA Based Average Consensus Problem with Adaptive Call-Occurrence Probability" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 3, pp. 613-622, March 2020, doi: 10.1587/transfun.2019EAP1137.
Abstract: This paper proposes an adaptive call-occurrence probability (COP) setting method for a slotted-ALOHA based consensus problem. Individual agents in the focused consensus problem control themselves in a distributed manner based on the partial information of overall control system which can be received only from the neighbor agents. In order to realize a reliable consensus problem based on wireless communications, we have to consider several constraints caused by the natures of wireless communications such as communication error, coverage, capacity, multi-user interference, half-duplex and so on. This work first investigates the impacts of wireless communication constraints, especially communication coverage, half-duplex, and multiple-access interference constraints, on the quality of control. To mitigate the impact of multiple-access constraint, we propose an adaptive COP setting method that changes the COP corresponding to the states of communication and control. The proposed adaptive COP based slotted-ALOHA needs the information about the number of neighbor agents at its own and neighbor agents, but can still work in a distributed manner. Computer simulations show that the proposed system can achieve better convergence performance compared to the case with the fixed COP based system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAP1137/_p
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@ARTICLE{e103-a_3_613,
author={Koji ISHII, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Slotted-ALOHA Based Average Consensus Problem with Adaptive Call-Occurrence Probability},
year={2020},
volume={E103-A},
number={3},
pages={613-622},
abstract={This paper proposes an adaptive call-occurrence probability (COP) setting method for a slotted-ALOHA based consensus problem. Individual agents in the focused consensus problem control themselves in a distributed manner based on the partial information of overall control system which can be received only from the neighbor agents. In order to realize a reliable consensus problem based on wireless communications, we have to consider several constraints caused by the natures of wireless communications such as communication error, coverage, capacity, multi-user interference, half-duplex and so on. This work first investigates the impacts of wireless communication constraints, especially communication coverage, half-duplex, and multiple-access interference constraints, on the quality of control. To mitigate the impact of multiple-access constraint, we propose an adaptive COP setting method that changes the COP corresponding to the states of communication and control. The proposed adaptive COP based slotted-ALOHA needs the information about the number of neighbor agents at its own and neighbor agents, but can still work in a distributed manner. Computer simulations show that the proposed system can achieve better convergence performance compared to the case with the fixed COP based system.},
keywords={},
doi={10.1587/transfun.2019EAP1137},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - Slotted-ALOHA Based Average Consensus Problem with Adaptive Call-Occurrence Probability
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 613
EP - 622
AU - Koji ISHII
PY - 2020
DO - 10.1587/transfun.2019EAP1137
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2020
AB - This paper proposes an adaptive call-occurrence probability (COP) setting method for a slotted-ALOHA based consensus problem. Individual agents in the focused consensus problem control themselves in a distributed manner based on the partial information of overall control system which can be received only from the neighbor agents. In order to realize a reliable consensus problem based on wireless communications, we have to consider several constraints caused by the natures of wireless communications such as communication error, coverage, capacity, multi-user interference, half-duplex and so on. This work first investigates the impacts of wireless communication constraints, especially communication coverage, half-duplex, and multiple-access interference constraints, on the quality of control. To mitigate the impact of multiple-access constraint, we propose an adaptive COP setting method that changes the COP corresponding to the states of communication and control. The proposed adaptive COP based slotted-ALOHA needs the information about the number of neighbor agents at its own and neighbor agents, but can still work in a distributed manner. Computer simulations show that the proposed system can achieve better convergence performance compared to the case with the fixed COP based system.
ER -