Three level recognition based on the average of the phase differences in physical wireless parameter conversion sensor networks and its effect to localization with …

T Ito, M Oda, O Takyu, M Ohta, T Fujii, K Adachi - Sensors, 2023 - mdpi.com
In recent years, there have been increased demands for aggregating sensor information
from several sensors owing to the spread of the Internet of Things (IoT). However, packet …

Position estimation of radio source based on fingerprinting with physical wireless parameter conversion sensor networks

M Oda, O Takyu, M Ohta, T Fujii, K Adachi - IEEE Access, 2023 - ieeexplore.ieee.org
Establishing a highly accurate positioning of radio sources for radio wave monitoring and
frequency spectrum sharing is attracting considerable attention. Because the positioning …

Transmit control and data separation in physical wireless parameter conversion sensor networks with event driven sensors

K Fukuda, O Takyu, K Shirai, M Ohta… - 2018 IEEE Topical …, 2018 - ieeexplore.ieee.org
A physical wireless parameter conversion sensor network (PhyC-SN) uses the frequency
modulation of sensing information and recognizes the whole sensing information from the …

Adaptive channel assignment with predictions of sensor results and channel occupancy ratio in PhyC-SN

O Takyu, K Shirai, T Fujii, M Ohta - IEEE Access, 2019 - ieeexplore.ieee.org
Applications related to the Internet of Things are widely diversified and require both low
latency and the access of massive sensors to wireless sensor networks. In physical wireless …

Multi-target tracking based on features of sensing results and wireless parameters for physical wireless parameter conversion sensor networks

M Oriuchi, O Takyu, K Shirai, T Fujii… - 2016 IEEE Radio …, 2016 - ieeexplore.ieee.org
In wireless sensor network, in addition to long life operation and low complexity, small time
delay and large traffic acceptance for supporting various machine-to-machine …

Performance evaluation of multi-target tracking for PhyC-SN

M Oriuchi, O Takyu, K Shirai, F Sasamori… - 2016 IEEE Wireless …, 2016 - ieeexplore.ieee.org
Physical conversion sensor networks (PhyC-SN) achieve simultaneous data collection in
wireless sensor networks. Although the PhyC-SN can recognize the median and the outliers …

Data tracking using frequency offset and SIC for physical wireless conversion sensor networks

T Sakai, O Takyu, K Shirai, M Ohta… - 2017 IEEE Wireless …, 2017 - ieeexplore.ieee.org
The physical wireless conversion sensor network (PhyC-SN) can exploit small frequency
bandwidth. In the PhyC-SN, the sensing results are projected on the wireless …

Data Separation Technique using Spatial Correlation of Sensing Results for Physical Wireless Parameter Conversion Sensor Networks

N Amano, O Takyu, K Shirai… - 2018 Asia-Pacific …, 2018 - ieeexplore.ieee.org
Wireless sensor networks (WSN) are attracting much attention for using various applications.
As a result, the requirements of WSN are widely spread, such as low latency, affordability of …

Data separation considering smoothness of sensing data in physical wireless parameter conversion sensor networks

S Yamasaki, O Takyu, K Shirai, T Fujii… - 2019 International …, 2019 - ieeexplore.ieee.org
Physical wireless conversion networks have an advantage that the fusion center can
simultaneously receive each data sent from multiple sensors. However, the separation of the …

ID Insertion and Data Tracking with Frequency Offset for Physical Wireless Parameter Conversion Sensor Networks

O Takyu, K Shirai, M Ohta, T Fujii - Sensors, 2019 - mdpi.com
As the applications of the internet of things are becoming widely diversified, wireless sensor
networks require real-time data reception, accommodation of access from several sensors …