Requirements and Challenges for User-level Service Managements of IoT Network by utilizing Artificial Intelligence
draft-choi-icnrg-aiot-01
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ICN Research Group J.K.Choi
Internet-Draft N.K.Kim
Intended status: Informational J.S.Han
Expires: January 8, 2020 M.K.Kim
KAIST
July 7, 2019
Requirements and Challenges for User-level Service Managements of IoT
Network by utilizing Artificial Intelligence
draft-choi-icnrg-aiot-01
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
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
working documents as Internet-Drafts. The list of current Internet-
Drafts is at http://datatracker.ietf.org/drafts/current/.
Choi, et,al. Expires January 8, 2020 [Page 1]
Internet-Draft IoT with Artificial Intelligence July 2019
Internet-Drafts are draft documents valid for a maximum of six months
and may be updated, replaced, or obsoleted by other documents at any
time. It is inappropriate to use Internet-Drafts as reference
material or to cite them other than as "work in progress."
This Internet-Draft will
expire on January 8, 2020
Copyright Notice
Copyright (c) 2019 IETF Trust and the persons identified as the
document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal
Provisions Relating to IETF Documents
(http://trustee.ietf.org/license-info) in effect on the date of
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described in the Simplified BSD License.
Table of Contents
1. Introduction
....................................................... 3
2. Challenging Issues of IoT network ...................................... 5
2.1. Untrusted and incorrect IoT devices ............................. 5
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................................... 8
4. Requirements for AI/ML-based IoT services.............................. 10
4.1. Requirements for AI/ML-based IoT data collection and delivery........ 11
4.2. Requirements for intelligent and context-aware IoT services ......... 11
4.3. Requirements for applying AI/ML to IoT data ...................... 13
4.3.1. Training AI/ML algorithm................................. 13
4.3.2. AI/ML inference in IoT application.......................... 13
5. State of arts of the artificial intelligence/machine learning technologies for IoT services14
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