Requirements and Challenges for User-level Service Managements of IoT Network by utilizing Artificial Intelligence
draft-choi-icnrg-aiot-00

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ICN Research Group                                              J.K.Choi 
    Internet-Draft                                                   N.K.Kim 
    Intended status: Informational                                  J.S.Han 
    Expires: September 12, 2019                                      M.K.Kim 
                                                                      KAIST 
                                                                    G.M.Lee 
                                           Liverpool John Moores University 
                                                             March 11, 2019 
                                                                           
                                                                           
                                          

       Requirements and Challenges for User-level Service Managements of IoT 
                   Network by utilizing Artificial Intelligence 

                             draft-choi-icnrg-aiot-00 

                                          

    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 
     
     

     
    Choi, et,al.         Expires September 12, 2019               [Page 1] 
     

    Internet-Draft    IoT with Artificial Intelligence          March 2019 
        

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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
           
           ........................................................... 11 
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