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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam rangkaian satelit Low Earth Orbit (LEO), taburan pengguna tidak seimbang disebabkan oleh geografi dan serakan penduduk. Akibatnya, sesetengah satelit mempunyai sedikit beban trafik, manakala yang lain mempunyai beban trafik yang berat yang sering membawa kepada peristiwa kesesakan. Dalam makalah ini, kami mencadangkan kaedah pengimbangan beban baru berdasarkan ramalan kesesakan. Dalam kaedah yang dicadangkan, setiap satelit mengesan kawasan yang sering berlaku kesesakan dan menyampaikan kedudukannya kepada satelit bersebelahan dengannya. Di kawasan tersebut, satelit berkenaan menjalankan algoritma pengimbangan beban untuk mengelakkan kesesakan. Prestasi kaedah yang dicadangkan dinilai melalui beberapa simulasi. Keputusan simulasi menunjukkan bahawa skim yang dicadangkan meningkatkan kadar penurunan paket, kelewatan hujung ke hujung dan daya pemprosesan.
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Salinan
Daigo KUDOH, Kenichi KASHIBUCHI, Hiroki NISHIYAMA, Nei KATO, "Dynamic Load Balancing Method Based on Congestion Prediction for IP/LEO Satellite Networks" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 11, pp. 3326-3334, November 2009, doi: 10.1587/transcom.E92.B.3326.
Abstract: In Low Earth Orbit (LEO) satellite networks, the user distributions are unbalanced due to the geography and the population dispersion. As a result, some satellites have few traffic loads, while others have heavy traffic loads which often lead to congestion events. In this paper, we propose a novel load balancing method based on congestion prediction. In the proposed method, each satellite detects areas where congestion often occurs and conveys their positions to its adjacent satellites. In those areas, the concerned satellites perform load balancing algorithms to prevent congestion. The performance of the proposed method is evaluated through a number of simulations. The simulation results demonstrate that the proposed scheme improves packet drop rate, end-to-end delay, and throughput.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3326/_p
Salinan
@ARTICLE{e92-b_11_3326,
author={Daigo KUDOH, Kenichi KASHIBUCHI, Hiroki NISHIYAMA, Nei KATO, },
journal={IEICE TRANSACTIONS on Communications},
title={Dynamic Load Balancing Method Based on Congestion Prediction for IP/LEO Satellite Networks},
year={2009},
volume={E92-B},
number={11},
pages={3326-3334},
abstract={In Low Earth Orbit (LEO) satellite networks, the user distributions are unbalanced due to the geography and the population dispersion. As a result, some satellites have few traffic loads, while others have heavy traffic loads which often lead to congestion events. In this paper, we propose a novel load balancing method based on congestion prediction. In the proposed method, each satellite detects areas where congestion often occurs and conveys their positions to its adjacent satellites. In those areas, the concerned satellites perform load balancing algorithms to prevent congestion. The performance of the proposed method is evaluated through a number of simulations. The simulation results demonstrate that the proposed scheme improves packet drop rate, end-to-end delay, and throughput.},
keywords={},
doi={10.1587/transcom.E92.B.3326},
ISSN={1745-1345},
month={November},}
Salinan
TY - JOUR
TI - Dynamic Load Balancing Method Based on Congestion Prediction for IP/LEO Satellite Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3326
EP - 3334
AU - Daigo KUDOH
AU - Kenichi KASHIBUCHI
AU - Hiroki NISHIYAMA
AU - Nei KATO
PY - 2009
DO - 10.1587/transcom.E92.B.3326
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2009
AB - In Low Earth Orbit (LEO) satellite networks, the user distributions are unbalanced due to the geography and the population dispersion. As a result, some satellites have few traffic loads, while others have heavy traffic loads which often lead to congestion events. In this paper, we propose a novel load balancing method based on congestion prediction. In the proposed method, each satellite detects areas where congestion often occurs and conveys their positions to its adjacent satellites. In those areas, the concerned satellites perform load balancing algorithms to prevent congestion. The performance of the proposed method is evaluated through a number of simulations. The simulation results demonstrate that the proposed scheme improves packet drop rate, end-to-end delay, and throughput.
ER -