Development of Autonomous Collaborative Swarm Intelligence Technologies for Disposable IoT Devices
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Funding
Institue for Information & Communication Technology Planning & Evaluation (IITP)
Role
Participating Researcher
(Jan 2020 - Dec 2021)
Task
-Development of IoT Swarm Neural Network (IoT-SNN) technology that enables IoT clusters to autonomously perceive, learn, and reason data through autonomous cooperation among multiple IoT physical/virtual devices
-Addressed two critical issues that may arise when utilizing AI/ML technologies in environments with distributed multiple IoT devices:
the energy problem and the collected data quality problem
Overview
Development of a Transmission Period Adjustment Model for Energy Saving in IoT Devices
Development of a transmission period adjustment model that predicts data reconstruction errors and appropriately considers the trade-off relationship between the reconstruction error value and the energy consumption of IoT devices
Configuration of Control Panel for Automating Transmission Period Model Learning
Data Transfer from Edge Server to AWS S3
Transmission Period Adjustment Model Training using AWS SageMaker
Control for Execution/Termination of Transmission Period Adjustment
Demonstration
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