| Project/Area Number |
17K12675
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Information network
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
Sakai Kazuya 首都大学東京, システムデザイン研究科, 准教授 (80730746)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 遅延耐性ネットワーク / クラウドソーシング / 災害復旧 / 分散アルゴリズム / モバイルクラウドソーシング |
|---|
| Outline of Final Research Achievements |
In this research, we develop the foundation of the mobile crowdsourcing technology for disaster recovery using multi-hop delay tolerant networks, where crowdsourced tasks, such as rescue and recovery tasks, are effectively and efficiently assigned to mobile users. To be specific, we design distributed tasks assignment algorithms that incorporate user mobility as well as dynamic tasks assignment algorithms that dynamically allocates the tasks to users at contacts. In addition, we implemented the proof-of-concept prototype to Android devices. The research outcomes are published to several conferences and international journals, such as IEEE INFOCOM and IEEE Transactions.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究で開発した分散タスクルーティングは、やさまざまなモバイルアプリケーションに応用できるため、波及効果が極めて大きい。
災害大国である我が国において、情報通信技術を防災や災害復旧に適応し、人的・経済的被害を抑えることは極めて重要な課題であり、社会的な意義が大きい。
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