| Paper Abstract and Keywords |
| Presentation |
2024-11-12 09:15
[Poster Presentation]
A study of information aggregation methods that take into account the correlation of observed values from multiple sensors
Yudai Koike, Osamu Takyu (Shinshu Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The authors have installed wireless terminals to monitor water levels in rivers and lakes in Shiojiri City, Nagano Prefecture, as a demonstration experiment of a wireless sensor network, and have been conducting environmental observations. Since the installation of the wireless sensor network, stable information aggregation has been confirmed.Wireless sensor networks for environmental observation require low power consumption and efficient use of wireless resources. Low power consumption is required because the environment in which they are installed has little power infrastructure, and the power supply is often powered by dry cell batteries or batteries. Efficient use of radio resources is also required because there may be other systems using the same frequency band.We have shown through previous data analysis that the observed information is correlated. In this presentation, we use this correlation to predict future observations by machine learning, and present a study of information aggregation methods that control the frequency of information aggregation to improve the efficiency of power consumption and wireless resource utilization. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
LPWA / IoT / LoRaWAN / Wireless Sensor Networks / Machine Learning / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Conference Information |
| Committee |
RISING |
| Conference Date |
2024-11-11 - 2024-11-12 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kaderu 2・7 (Sapporo) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Cross-Field Research Association of Super-Intelligent Networking |
| Paper Information |
| Registration To |
RISING |
| Conference Code |
2024-11-RISING |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A study of information aggregation methods that take into account the correlation of observed values from multiple sensors |
| Sub Title (in English) |
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| Keyword(1) |
LPWA |
| Keyword(2) |
IoT |
| Keyword(3) |
LoRaWAN |
| Keyword(4) |
Wireless Sensor Networks |
| Keyword(5) |
Machine Learning |
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| 1st Author's Name |
Yudai Koike |
| 1st Author's Affiliation |
Shinshu University (Shinshu Univ.) |
| 2nd Author's Name |
Osamu Takyu |
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Shinshu University (Shinshu Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-11-12 09:15:00 |
| Presentation Time |
50 minutes |
| Registration for |
RISING |
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vol. |
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