Requirements and Challenges for User-level Service Managements of IoT Network by utilizing Artificial Intelligence
draft-choi-icnrg-aiot-02

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ICN Research Group                                              J.K.Choi 
    Internet-Draft                                                      J.S.Han 
    Intended status: Informational                                  G.H.Lee 
    Expires: May 19, 2020                                            N.K.Kim 
                                                                             KAIST 
                                                           Novermber 18, 2019 
                                                                           
                                                                           
                                        
      Requirements and Challenges for User-level Service Managements of IoT 
                  Network by utilizing Artificial Intelligence 
                            draft-choi-icnrg-aiot-02
                                        
    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
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    Choi, et,al.                 Expires May 19, 2020                        [Page 1] 
     

    Internet-Draft            IoT with Artificial Intelligence         Novermber 2019 
     
     
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   This Internet-Draft will 
expire on May 19, 2020 
     
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    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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