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フルテキストURLD300018000020.pdf ( 3.0MB ) 公開日 2020-06-05
タイトルCross layer fault-tolerant cognitive diversity scheme for social information based artificial intelligent networks
作成者Zhong, Yingji
Ge, Qi-Wei
Matsuno, Hiroshi
作成者ヨミマツノ, ヒロシ
作成者別表記葛, 崎偉
松野, 浩嗣
作成者所属山口大学教育学部
その他
内容記述(抄録等)In this paper a special scenario of the topology in the artificial intelligent networks is studied, and a new cross-layer fault-tolerant cognitive scheme based on the topology information is proposed to exploit both the channel diversity and spatial reusability. The proposed Cross Layer Faulttolerant Cognitive Diversity Scheme (CL-FCDS) resides between the MAC layer and network layer, and aims to improve the network throughput by coordinating the transmission power at each node, selecting channel on each wireless interface, and deciding the routes based on the traffic information measured and exchanged among the multi-hop neighbor nodes. The Cognitive Diversity Air Time Metric (CDATM) is also introduced to quantify the difference of various adjustment factors. The proposed scheme achieves efficient utilization of available channels by selecting feasible adjustment candidates with the smallest CDATM value and coordinating the affected nodes to realize the adjustment. NS2 simulation reveals that the proposed scheme allows substantial improvement on the throughput and the outage probability, along with fault-tolerant cognition.
本文言語eng
著者キーワードartificial intelligent networks
cognitive diversity
spatial reusability
fault-tolerant
資料タイプtext
ファイル形式application/pdf
出版者山口大学大学院東アジア研究科
出版者ヨミヤマグチ ダイガク ダイガクイン ヒガシアジア ケンキュウカ
NII資料タイプ学術雑誌論文
ISSN1347-9415
NCIDAA11831154
学内刊行物(紀要等)東アジア研究
掲載誌名東アジア研究
掲載誌名別表記Journal of East Asian studies
18
開始ページ335
終了ページ348
発行日2020-03
著者版/出版社版出版社版
リポジトリIDD300018000020
地域区分山口大学
URIhttp://www.lib.yamaguchi-u.ac.jp/yunoca/handle/D300018000020