@inproceedings{d2329a5f1d2040d0971c9c143dd868c8,
title = "Characterization of Discrimination of Number of Signal Collision Sensors Using Spectral Fluctuation Caused by Frequency Offset in Physical Wireless Parameter Conversion Sensor Networks",
abstract = "Physical Wireless Parameter Conversion Sensor Networks (PhyC-SN) is converts sensor information into a carrier wave and transmits it to aggregate information from many sensors at a high speed. The authors established a method to detect multiple sensors accessing within a specific frequency by utilizing frequency offsets to check whether the signals of multiple sensors collide within the frequency. However, it is difficult to identify the number of sensors accessing at the same time. In this study, we established a method to use fluctuations in the received energy spectrum due to sensor-specific frequency offsets as a feature to identify the number of sensors and clarified the identification accuracy for up to four transmitting sensors.",
keywords = "collision detection, frequency offset, PhyC-SN, Random Forest, window function",
author = "Toshi Ito and Osamu Takyu and Mai Ohta and Takeo Fujii and Koichi Adachi",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024 ; Conference date: 19-02-2024 Through 22-02-2024",
year = "2024",
doi = "10.1109/ICAIIC60209.2024.10463233",
language = "English",
series = "6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "297--300",
booktitle = "6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024",
}