Requirements and Challenges for User-level Service Managements of IoT Network by utilizing Artificial Intelligence
draft-choi-icnrg-aiot-05
ICN Research Group J.K. Choi
Internet Draft J.S. Han
Intended status: Informational G.H. Lee
Expires: May 24, 2021 N.K. Kim
KAIST
November 24, 2020
Requirements and Challenges for User-level Service Managements of
IoT Network by utilizing Artificial Intelligence
draft-choi-icnrg-aiot-05
Abstract
This document describes the requirements and challenges to employ
artificial intelligence (AI) into the constraint Internet of Things
(IoT) service environment for embedding intelligence and increasing
efficiency.
The IoT service environment includes heterogeneous and multiple IoT
devices and systems that work together in a cooperative and
intelligent way to manage homes, buildings, and complex autonomous
systems. Therefore, it is becoming very essential to integrate IoT
and AI technologies to increase the synergy between them. However,
there are several limitations to achieve AI enabled IoT as the
availability of IoT devices is not always high, and IoT networks
cannot guarantee a certain level of performance in real-time
applications due to resource constraints.
This document intends to present a right direction to empower AI in
IoT for learning and analyzing the usage behaviors of IoT
devices/systems and human behaviors based on previous records and
experiences. With AI enabled IoT, the IoT service environment can be
intelligently managed in order to compensate for the unexpected
performance degradation often caused by abnormal situations.
Status of this Memo
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Choi, et.al. Expires May 24, 2021 [Page 1]
Internet-Draft IoT with Artificial Intelligence November 2020
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Table of Contents
1. Introduction ................................................ 3
2. Challenging Issues of IoT network
............................ 6
2.1. Untrusted and incorrect IoT devices ..................... 6
2.2. Traffic burstiness of IoT network ....................... 6
2.3. Management overheads of heterogeneous IoT sensors
........ 7
3. Overview of AI/ML-based IoT services ......................... 9
4. Requirements for AI/ML-based IoT services ................... 11
4.1. Requirements for AI/ML-based IoT data collection and delivery
........................................................... 12
4.2. Requirements for intelligent and context-aware IoT services13
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