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
Neste artigo, um algoritmo eficaz de controle de congestionamento é proposto para aumentar a taxa de sucesso de entrega ponta a ponta do tráfego upstream, reduzindo as probabilidades de queda de buffer e seu desvio em redes de sensores sem fio. De acordo com o comprimento da fila dos nós pai e filho, cada nó filho escolhe um dos pais como o próximo salto para o coletor e controla o atraso antes do início da transmissão. Ele equilibra o tráfego entre os pais e mitiga o congestionamento com base no nível de congestionamento de um nó. Os resultados da simulação mostram que o algoritmo proposto reduz as probabilidades de queda de buffer e seu desvio e aumenta a taxa de sucesso de entrega ponta a ponta em redes de sensores sem fio.
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Hyung Seok KIM, Seok LEE, Namhoon KIM, "Stochastic Congestion Control in Wireless Sensor Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 1, pp. 344-347, January 2010, doi: 10.1587/transfun.E93.A.344.
Abstract: In this paper, an effective congestion control algorithm is proposed to increase the end-to-end delivery success ratio of upstream traffic by reduction of buffer drop probabilities and their deviation in wireless sensor networks. According to the queue length of parent and child nodes, each child node chooses one of the parents as the next hop to the sink and controls the delay before transmission begins. It balances traffics among parents and mitigates congestion based on congestion level of a node. Simulation results show that the proposed algorithm reduces buffer drop probabilities and their deviation and increases the end-to-end delivery success ratio in wireless sensor networks.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.344/_p
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@ARTICLE{e93-a_1_344,
author={Hyung Seok KIM, Seok LEE, Namhoon KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Stochastic Congestion Control in Wireless Sensor Networks},
year={2010},
volume={E93-A},
number={1},
pages={344-347},
abstract={In this paper, an effective congestion control algorithm is proposed to increase the end-to-end delivery success ratio of upstream traffic by reduction of buffer drop probabilities and their deviation in wireless sensor networks. According to the queue length of parent and child nodes, each child node chooses one of the parents as the next hop to the sink and controls the delay before transmission begins. It balances traffics among parents and mitigates congestion based on congestion level of a node. Simulation results show that the proposed algorithm reduces buffer drop probabilities and their deviation and increases the end-to-end delivery success ratio in wireless sensor networks.},
keywords={},
doi={10.1587/transfun.E93.A.344},
ISSN={1745-1337},
month={January},}
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TY - JOUR
TI - Stochastic Congestion Control in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 344
EP - 347
AU - Hyung Seok KIM
AU - Seok LEE
AU - Namhoon KIM
PY - 2010
DO - 10.1587/transfun.E93.A.344
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2010
AB - In this paper, an effective congestion control algorithm is proposed to increase the end-to-end delivery success ratio of upstream traffic by reduction of buffer drop probabilities and their deviation in wireless sensor networks. According to the queue length of parent and child nodes, each child node chooses one of the parents as the next hop to the sink and controls the delay before transmission begins. It balances traffics among parents and mitigates congestion based on congestion level of a node. Simulation results show that the proposed algorithm reduces buffer drop probabilities and their deviation and increases the end-to-end delivery success ratio in wireless sensor networks.
ER -