The Study on the Effective Methods with the Cognitive Wireless Networks for ultra-large disasters
| Project/Area Number |
24500093
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | Saitama Institute of Technology |
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Principal Investigator |
UCHIDA Noriki 埼玉工業大学, 人間社会学部, 准教授 (10610298)
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| Co-Investigator(Kenkyū-buntansha) |
SHIBATA Yoshitaka 岩手県立大学, ソフトウェア情報学部, 教授 (80129791)
TAKAHATA Kazuo 埼玉工業大学, 人間社会学部, 教授 (60226909)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 災害情報システム / コグニティブ無線 / 耐遅延性ネットワーク / 防災災害情報システム / ネットワーク / ネットワークアーキテクチャ / DTN |
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| Outline of Final Research Achievements |
The research present the proposed method that is the Effective Methods with the Cognitive Wireless Networks with the extend AHP and the extend AODV method for ultra-large disasters. The methods includes the optimal dynamic selections among the possible wireless links and routes during the ultra-large disasters by observing the network conditions (connectivity, RSSI, throughput, latency, packet error rate) and the user policies after disasters. In the results of the evaluations of the simulation and the experiments by the prototype systems, it is pointed out that the proposed methods and are effective. Also, the additional proposed autonomous moving node with the enhanced DTN methods is indicated to be effective by the evaluations.
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Report
(4 results)
Research Products
(34 results)
