Detecting Predictability in Multi-Sensor Monitoring of Indoor Wireless Communication Environment

A multi-sensor monitoring system has been developed for real-time monitoring and analysis of indoor wireless communication environments. The system uses commodity hardware and open-source software platforms, which are low cost and suitable for open and cooperative development. It is shown that analy...

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Main Authors: Itaya, Satoko, Ohori, Fumiko, Osuga, Toru, Matsumura, Takeshi
Format: Conference Proceeding
Language:English
Subjects:
link quality
machine learning
Monitoring
prediction
Sensors
Spatial resolution
Time measurement
Time series analysis
Wi-Fi
Wireless communication
Wireless fidelity
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creator Itaya, Satoko
Ohori, Fumiko
Osuga, Toru
Matsumura, Takeshi
description A multi-sensor monitoring system has been developed for real-time monitoring and analysis of indoor wireless communication environments. The system uses commodity hardware and open-source software platforms, which are low cost and suitable for open and cooperative development. It is shown that analysis of time series data of Wi-Fi signal strength obtained from multiple sensors in different rooms can be used to detect predictability relations between signals at different positions.
doi_str_mv 10.1109/ICCE59016.2024.10444296
format conference_proceeding
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subjects link quality
machine learning
Monitoring
prediction
Sensors
Spatial resolution
Time measurement
Time series analysis
Wi-Fi
Wireless communication
Wireless fidelity
title Detecting Predictability in Multi-Sensor Monitoring of Indoor Wireless Communication Environment
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