Bio-Inspired Coordination for Measurement Timing in Sensor Networks

Modern sensor networks often consist of larger numbers of sensor nodes, making it possible for common targets to be measured by multiple sensor nodes rather than a single node. When multiple sensor nodes can measure common targets, simultaneous measurements across sensor nodes can reduce the impact of measurement errors. Alternatively, performing measurements at the same frequency while offsetting the measurement timings among sensor nodes can enhance temporal resolution. In this work, we propose a method for the selfconfigured coordination of the measurement timings, inspired by biological phenomena. This method achieves synchronization, where both the periods and phases of them are synchronized, or desynchronization, where the periods of them are synchronized but the phases of them are evenly offset. We evaluate our proposed method for synchronization and desynchronization of measurement timings among sensor nodes through a simulation with 100 sensor nodes.

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Published
2025-05-26
DOI
https://doi.org/10.1109/isorc65339.2025.00048
Primary Topic
Slime Mold and Myxomycetes Research
Type
article
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article

Bio-Inspired Coordination for Measurement Timing in Sensor Networks

Takashi Ikegami, Ichiro Satoh
Slime Mold and Myxomycetes Research
article

Bio-Inspired Coordination for Measurement Timing in Sensor Networks

Takashi Ikegami, Ichiro Satoh
article en

Abstract

Modern sensor networks often consist of larger numbers of sensor nodes, making it possible for common targets to be measured by multiple sensor nodes rather than a single node. When multiple sensor nodes can measure common targets, simultaneous measurements across sensor nodes can reduce the impact of measurement errors. Alternatively, performing measurements at the same frequency while offsetting the measurement timings among sensor nodes can enhance temporal resolution. In this work, we propose a method for the selfconfigured coordination of the measurement timings, inspired by biological phenomena. This method achieves synchronization, where both the periods and phases of them are synchronized, or desynchronization, where the periods of them are synchronized but the phases of them are evenly offset. We evaluate our proposed method for synchronization and desynchronization of measurement timings among sensor nodes through a simulation with 100 sensor nodes.

National Institute of Informatics (JP), The Graduate University for Advanced Studies, SOKENDAI (JP)
Openalex Percentile: Top 74%
Slime Mold and Myxomycetes Research
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