| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2019-08-26 |
| 書誌情報 |
en : IEEE Systems Journal
巻 12,
号 1,
p. 1024-1033,
発行日 2018-03
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| タイトル |
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タイトル |
Multi-objective Network Opportunistic Access for Group Mobility in Mobile Internet |
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言語 |
en |
| 言語 |
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言語 |
eng |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Genetic algorithm |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
group mobility |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
moving direction pattern |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
multiobjective |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
network opportunistic access\n |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
TAO, Ming
董, 冕雄
太田, 香
HE, Zhimin
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| 室蘭工業大学研究者データベースへのリンク |
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表示名 |
董 冕雄（DONG Mianxiong） |
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URL |
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html |
| 室蘭工業大学研究者データベースへのリンク |
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表示名 |
太田 香（OTA Kaoru） |
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URL |
http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html |
| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
The integration of existing and emerging heterogeneous wireless networks in mobile Internet is a combination of diverse but complementary wireless access technologies. Satisfying a set of imperative constrains and optimization objectives, access network selection (ANS) for mobile node (MN) is an inherent procedure in mobility management that needs to be solved in a reasonable manner for the whole system to operate in an optimal fashion. However, ANS remains a significant challenge. Because many MNs with distinctive call characteristics are likely to have correlated mobility and may need to perform mobility management at the same time, this paper, with the goal of investigating group mobility solutions, proposes a network opportunistic access for group mobility (NOA-GM) scheme. By analyzing the directional patterns of moving MNs and introducing the idea of opportunistic access, this scheme first identifies underloaded access networks as candidates. Then, the candidates are evaluated using normalized models of objective and subjective metrics. On this basis, the ANS problem for group mobility can be conducted as a multiobjective combination optimization and then transferred to a signal-objective model by considering the optimization of the performance of the whole system as a global goal while still achieving each MN's performance request. Using an improved genetic algorithm with newly designed evolutionary operators to solve the signal-objective model, an optimal result option for ANS for group mobility is achieved. Simulations conducted on the NS-2 platform show that NOA-GM outperforms the compared schemes in several critical performance metrics. |
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言語 |
en |
| 出版者 |
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出版者 |
IEEE |
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言語 |
en |
| 出版者版へのリンク |
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表示名 |
10.1109/JSYST.2016.2569568 |
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URL |
https://doi.org/10.1109/JSYST.2016.2569568 |
| DOI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
10.1109/JSYST.2016.2569568 |
| 日本十進分類法 |
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主題Scheme |
NDC |
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主題 |
007 |
| ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
1932-8184 |
| 権利 |
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権利情報 |
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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言語 |
en |
| 著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
IEEESJ_12_1_1024_1033 (568.9 kB)
