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A Multi-Agent Prediction Method for Data Sampling and Transmission Reduction in Internet of Things Sensor Networks.

Bartłomiej Płaczek¹

¹Institute of Computer Science, University of Silesia, Będzińska 39, 41-200 Sosnowiec, Poland.

Sensors (Basel, Switzerland)

|October 28, 2023

Summary

This summary is machine-generated.

This study introduces a novel method for Internet of Things (IoT) sensor networks to reduce data transmission. By predicting sensor reading intervals, it efficiently suppresses unnecessary data, conserving resources for low-end devices.

Keywords:

Internet of Things multi-agent system prediction model sensor network transmission reduction

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Area of Science:

Computer Science
Electrical Engineering
Data Science

Background:

Sensor networks are crucial for Internet of Things (IoT) applications, providing real-time data.
Limited network bandwidth, storage, processing, and energy necessitate efficient data handling in IoT sensor networks.

Purpose of the Study:

To introduce a new method for reducing data transmission in IoT sensor networks.
To decrease the amount of data samples collected by sensor nodes by predicting sensor reading intervals.

Main Methods:

A multi-agent system is employed to determine predicted intervals of possible sensor readings.
Agents independently analyze historical data to evaluate similarities between past and current sensor readings for prediction.
The prediction algorithm is executed at the IoT gateway or in the cloud.

Main Results:

The method effectively suppresses unnecessary transmissions and reduces collected data samples.
Experimental results demonstrate improved accuracy of prediction intervals.
A higher rate of transmission reduction was achieved compared to existing prediction methods.

Conclusions:

The proposed method is suitable for IoT sensor networks with resource-constrained, low-end devices.
It efficiently manages data by determining the usefulness of sensed data and optimizing transmission frequency.
The approach enhances prediction accuracy and significantly reduces data transmission in IoT sensor networks.