Modeling, Design and Implementation of Heterogeneous Opportunistic Urban Sensor Network using Garbage-collecting Trucks as Communication Backbones
| Project/Area Number |
17K12677
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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 | Keio University |
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Principal Investigator |
CHEN Yin 慶應義塾大学, 政策・メディア研究科(藤沢), 特任講師 (60773124)
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| Project Period (FY) |
2017-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | urban sensing / vehicular sensing / vehicular network / IoT / wireless sensor network / Urban sensor network / Vehicular network / mobile ad hoc network / sensor network / automotive sensing / smart cities / coverage / delay / Sensor Networks / Urban Sensing / Mobile Networks / Vehicular Network |
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| Outline of Final Research Achievements |
To implement the vehicular urban sensing technology, we have investigated: (1) Network modeling for the transmission opportunity of mobile network, (2) experiment system using sensors installed on garbage trucks, and (3) applications, like Omimamori service and sensing of garbage disposal, based on the data collected from the experiment system. It is expected that the developed technologies will be applied to fulfill the version of a super smart society.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は都市のデータ収集におけるゴミ清掃車のモビリティーの有用性を明らかにした。しかし、本研究は規模の限りがあるため、示した価値は氷山の一角にすぎないと考えている。今後、得られたデータの分析や新しいアプリの開発より、新しい価値を作り出す。研究成果を国際論文誌、国際会議等にて発表した。また、論文[4,5]の成果がYRP研究開発推進協会（YRP協会）WSN協議会のWSN-IoT AWARD 2019 最優秀賞を受賞した。本研究成果は、社会的にも高い注目を集めている。
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Report
(3 results)
Research Products
(7 results)
