This research aims to develop an autonomous IoT edge computing platform for real-time situational awareness and proactive decision-making. Unlike current systems where IoT devices passively generate data and edge servers make decisions, this approach enables IoT devices to detect environmental changes and collaborate in real time. Key goals include context-aware resource allocation, intelligent IoT collaboration, and optimized service quality, with real-world validation through a smart space testbed and impactful research outcomes.
(스타랩 2019) Self-Learning based Autonomic IoT Edge Computing
Research on Core Technologies for Autonomic IoT Edge Computing Capable of Recognizing and Responding to Real-Time Situational Changes in Urban Spaces
Project Details
Subject
Self-Learning Based Core Technology Research for Autonomic IoT Edge Computing
Funded by
MSIT (과학기술정보통신부)
Period: