2023 Fiscal Year Final Research Report
Signal source clustering by estimating the proximity relationship between signal sources that eliminates the need for ranging and positioning
| Project/Area Number |
20K11778
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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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| Review Section |
Basic Section 60060:Information network-related
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| Research Institution | Kanagawa Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 無線通信 / クラスタリング / IoT |
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| Outline of Final Research Achievements |
The objective of this study was to obtain time trends of the clustering results of signal sources by estimating the proximity relationship between signal sources that do not require ranging and positioning, and to create proximity applications that utilize the annotations of each cluster. The results of the study showed that clustering using all observed RSSI and WiFi CSI series would be impractical in terms of processing time, and that pre-processing, such as selecting the series to be used in advance, would be useful. It was also found that in the environment assumed in this study (passive system), it is difficult to achieve the accuracy required for the assumed task, and additional modalities or machine learning may be necessary.
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| Free Research Field |
情報ネットワーク
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| Academic Significance and Societal Importance of the Research Achievements |
BLEビーコンは、主に店舗でのクーポンの配布や店舗への送客といったO2Oの分野で活用されてきた。しかし、当初の期待と比較して普及活用されているとは言いにくい。これは、ビーコンなどのPoIを設置し対応するアプリケーションをあらかじめスマートフォンにインストールする必要があるなどの事前の準備の煩雑さが問題となっている。本研究では、これらのO2Oにおけるビーコンとは別に、既に設置された無線LANアクセスポイントやユーザが携帯するデバイスなどのの信号源をクラスタリングすることで、信号源同士の近接性を利用するアプリケーションを創出しユーザへの導入が用意になると考えられる。
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