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
Estudos recentes mostraram que a transmissão simultânea com sincronização de tempo precisa permite uma inundação confiável e eficiente para redes sem fio. No entanto, a maioria deles exige que todos os nós da rede encaminhem pacotes um número fixo de vezes para chegar ao destino, o que leva ao consumo desnecessário de energia em cenários de comunicação um para um e muitos para um. Nesta carta, propomos que o G1M resolva esse problema reduzindo o encaminhamento redundante de pacotes em transmissões simultâneas. A avaliação do G1M mostra que, em comparação com o LWB, o consumo médio de energia da transmissão um para um e muitos para um é reduzido em 37.89% e 25%, respectivamente.
SenSong HE
Zhejiang Sci-Tech University
Ying QIU
Zhejiang Sci-Tech University
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SenSong HE, Ying QIU, "Energy-Efficient One-to-One and Many-to-One Concurrent Transmission for Wireless Sensor Networks" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 12, pp. 2107-2111, December 2023, doi: 10.1587/transinf.2023EDL8034.
Abstract: Recent studies have shown that concurrent transmission with precise time synchronization enables reliable and efficient flooding for wireless networks. However, most of them require all nodes in the network to forward packets a fixed number of times to reach the destination, which leads to unnecessary energy consumption in both one-to-one and many-to-one communication scenarios. In this letter, we propose G1M address this issue by reducing redundant packet forwarding in concurrent transmissions. The evaluation of G1M shows that compared with LWB, the average energy consumption of one-to-one and many-to-one transmission is reduced by 37.89% and 25%, respectively.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8034/_p
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@ARTICLE{e106-d_12_2107,
author={SenSong HE, Ying QIU, },
journal={IEICE TRANSACTIONS on Information},
title={Energy-Efficient One-to-One and Many-to-One Concurrent Transmission for Wireless Sensor Networks},
year={2023},
volume={E106-D},
number={12},
pages={2107-2111},
abstract={Recent studies have shown that concurrent transmission with precise time synchronization enables reliable and efficient flooding for wireless networks. However, most of them require all nodes in the network to forward packets a fixed number of times to reach the destination, which leads to unnecessary energy consumption in both one-to-one and many-to-one communication scenarios. In this letter, we propose G1M address this issue by reducing redundant packet forwarding in concurrent transmissions. The evaluation of G1M shows that compared with LWB, the average energy consumption of one-to-one and many-to-one transmission is reduced by 37.89% and 25%, respectively.},
keywords={},
doi={10.1587/transinf.2023EDL8034},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - Energy-Efficient One-to-One and Many-to-One Concurrent Transmission for Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Information
SP - 2107
EP - 2111
AU - SenSong HE
AU - Ying QIU
PY - 2023
DO - 10.1587/transinf.2023EDL8034
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2023
AB - Recent studies have shown that concurrent transmission with precise time synchronization enables reliable and efficient flooding for wireless networks. However, most of them require all nodes in the network to forward packets a fixed number of times to reach the destination, which leads to unnecessary energy consumption in both one-to-one and many-to-one communication scenarios. In this letter, we propose G1M address this issue by reducing redundant packet forwarding in concurrent transmissions. The evaluation of G1M shows that compared with LWB, the average energy consumption of one-to-one and many-to-one transmission is reduced by 37.89% and 25%, respectively.
ER -