| Project/Area Number |
15K21473
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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
Multimedia database
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| Research Institution | Fukui University of Technology |
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Principal Investigator |
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| Research Collaborator |
MIWA HIROYOSHI 関西学院大学, 理工学部, 教授 (40351738)
FUJIWARA NAOYA 東京大学, 産業技術研究所, 特任講師 (00637449)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 近接遭遇特性 / ビッグデータ解析 / 遅延耐性ネットワーク / モノのインターネット / モバイルネットワーク / ビッグデータ分析・活用 / 近接情報サービス |
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| Outline of Final Research Achievements |
Statistical properties of human proximity patterns have been analyzed using big data of human mobility patterns. Through visualizing these patterns in Japanese metropolitan areas, their spatial patterns have been investigated. Numerical
simulations of epidemic routing, which is a routing method in delay tolerant networking have also been performed. In general, the temporal change of information spreading size obeys a logistic curve. By changing the communication
distance, the inflection point of the curve is focused. As a result, a universal relation between the number of mobile nodes and the communication distance is found. Furthermore, methods for creating people flow data have been compared through the impacts on the performance of epidemic routing. A possibility of overestimating the performance by illusory and excessive aggregation of representative points is confirmed. These results are considered to be useful for evaluating proximity-based services.
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