A COOPERATIVE WI-FI MEASUREMENT CONTROL SERVICE WITH INDEPENDENT DATA CAPTURE AND COMMAND VERIFICATION

Wi-Fi measurements enable presence detection and human movement recognition without cameras, infrared motion sensors or body-worn sensors. Combining data from multiple devices requires eligibility checks: resets and out-of-order records can distort state assessment, while a response alone does not confirm correct command execution. A Raspberry Pi software service was developed to organize ESP32 measurements before downstream radio-data analysis. The main contribution is an architecture combining measurement collection, data-eligibility checks and configuration selection under modelled resource constraints with separate records of decisions and command acknowledgements. Verification combined reanalysis of a previously collected RSSI and CSI archive from hardware experiments, software scenarios, and analysis of records from a separate later hardware command experiment. The full hardware cycle of the current controller was not tested. Reanalysis of a prolonged two-node experiment showed that eligible data from both nodes were used in 98.9989% of decisions and all 10 controlled restarts were detected. The median time to restore both sources’ participation in joint decisions was 6.670 s. Software scenarios rejected responses that did not match the command, device, rate, or terminal state. The service makes it possible to recheck measurement processing, locate the causes of errors, and distinguish accepted decisions from confirmed device states.

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Publication Details

Journal
Komp'ûternì sistemi ta merežì
Published
2026-11-11
DOI
https://doi.org/10.23939/csn2026.02.214
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
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article

A COOPERATIVE WI-FI MEASUREMENT CONTROL SERVICE WITH INDEPENDENT DATA CAPTURE AND COMMAND VERIFICATION

V V Pavlenko
Komp'ûternì sistemi ta merežì
Indoor and Outdoor Localization Technologies
article

A COOPERATIVE WI-FI MEASUREMENT CONTROL SERVICE WITH INDEPENDENT DATA CAPTURE AND COMMAND VERIFICATION

V V Pavlenko
article en

Abstract

Wi-Fi measurements enable presence detection and human movement recognition without cameras, infrared motion sensors or body-worn sensors. Combining data from multiple devices requires eligibility checks: resets and out-of-order records can distort state assessment, while a response alone does not confirm correct command execution. A Raspberry Pi software service was developed to organize ESP32 measurements before downstream radio-data analysis. The main contribution is an architecture combining measurement collection, data-eligibility checks and configuration selection under modelled resource constraints with separate records of decisions and command acknowledgements. Verification combined reanalysis of a previously collected RSSI and CSI archive from hardware experiments, software scenarios, and analysis of records from a separate later hardware command experiment. The full hardware cycle of the current controller was not tested. Reanalysis of a prolonged two-node experiment showed that eligible data from both nodes were used in 98.9989% of decisions and all 10 controlled restarts were detected. The median time to restore both sources’ participation in joint decisions was 6.670 s. Software scenarios rejected responses that did not match the command, device, rate, or terminal state. The service makes it possible to recheck measurement processing, locate the causes of errors, and distinguish accepted decisions from confirmed device states.

Komp'ûternì sistemi ta merežìVol. 8(2)
Lviv Polytechnic National University (UA)
Indoor and Outdoor Localization Technologies
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