IoT Standardization Process and Smart IoT

Reporter: Linpei Li

2017.4.29

Joint BUPT-Eurecom Open5G Lab

Table of contents

ⅠIoT Standards

Ⅱ Our ITU-T Standardization Process

Ⅲ Smart IoT

Table of contents

ⅠIoT Standards

Ⅱ Our ITU-T Standardization Process

Ⅲ Smart IoT

ⅠIoT Standards The IoT enables physical objects to see, hear, think and perform jobs by having them “talk” together, to share information and coordinate decisions.

Identification

Sensing

Communication

Computation

Semantics

Name and match services with their demand

Gather date from related objects and send it back

Connect heterogeneous objects together

“Brain” and the computational ability

Ability to extract knowledge smartly

ⅠIoT Standards

Application Protocol • Constrained Application

Protocol (CoAP) • Message Queue Telemetry

Transport (MQTT) • Exitensible Messaging and

Presence Protocol (XMPP) • Advanced Message Queuing

Protocol (AMQP) • Data Distributed Service

(DDS)

Service Protocol • Multicast DNS (mDNS) • DNS Service Discovery

(DNS-SD)

ⅠIoT Standards

RPL • A link-independent routing

protocol based on IPv6 for resource-constrained nodes

• A DODAG represents the core of RPL

• Two modes of operation

6LowPAN • Map services required by IPv6

over Lower Power WPANs to maintain an IPv6 network

• Header compression • Datagrams are followed by a

combination of some headers

IEEE 802.15.4 • Specify a sub-layer for MAC and

a PHY for low-rate wireless private area networks

• Support three channel • Support two types of network

nodes: FFD and RFD

LTE-A

• Encompass a set of cellular communication protocols that fit for MTC and IoT infrastructures

• Physical layer : OFDMA • Architecture : CN and RAN

Infrastructure protocols

ⅠIoT Standards Machine-to-Machine Communication (M2M) is a foundation capacity for IoT.

Communication Layer

M2M/IoT Standards

1

2

3

Services Layer

Data Layer

1. ITU-T 2. ETSI 3. oneM2M 4. TIA 5. ATIS

1. 3GPP 2. 3GPP2 3. IETF 4. IEEE

1. OGC 2. OASIS 3. OMG

ⅠIoT Standards

• Support the establishment and management of M2M connections between M2M entities

• e.g.: provision M2M connections

Connectivity Support Realize a software environment and a set of interface to support development, deployment and execution of M2M applications

Service enablement

• Realize functions to support management process dealing with M2M devices

• e.g.: firmware update, bootstrapping

Device Management Includes functions specific to the support of multiple M2M device types, multiple interconnection technologies and involving multiple network providers.

Application Support

1 2 3 4

Standards-Services: ITU-T

ⅠIoT Standards

3GPP Two communication models: • Direct • Indirect: The communication

between MTC application and MTC server may be administered by 3GPP Operator or third party.

3GPP2 M2M server supports the following interface types: • IP: interface to the Home Agent • M2Msp: interface to the M2M

Interworking Function • M2Msms: interface to Short

Message Server Service Centre

Standards-Communications

ⅠIoT Standards Standards-Data

OGC Establish a

Sensor Web Framework

(SWF)

Definition of data models

Modeling of systems and processing of the observation

Exchange of observation data

Processing of sensor observations

Discovery of feasible observations and the tasking of

sensors and sensor systems

Discovery of sensors and their associated observations

Table of contents

ⅠIoT Standards

Ⅱ Our ITU-T Standardization Process

Ⅲ Smart IoT

Ⅱ Our ITU-T Standardization Process Our recommendation in ITU-T: Requirements and capabilities of Internet of Things for support of wearable devices and related services

WDMS WDSS

WDHS WDAS

a class of WDS specifically providing the user with multimedia content, virtual reality and social communication

a class of WDS specifically providing the user with services for sports activity recording, analysis and planning

a class of WDS specifically providing the user with services for personal health management and state monitoring

a class of WDS specifically providing the user with applications and control mechanisms useful to improve work efficiency

Definition

Ⅱ Our ITU-T Standardization Process WDs and WDS in IoT

Multimedia Sports

Health Personal Assistance

Head

Arm

Torso

Hand

Leg &waist

Feet

Gateway

Cloud serversNetwork

.Locating

E-commerce

Electronic secretary

Video games

Watching videos

Virtual tour

Behavior analysis Exercise direction

Data recording Tactics

Remote nursing Action assistant

Fitness monitoring

movement assistance

Cellular

Wearable devices

LPWA Wi-Fi Bluetooth SatelliteFiber Cable EtcAccess Technology

WDS

WDs

IoT

process Analysis result

Ⅱ Our ITU-T Standardization Process Characteristics

• Wearability • Personal data

protection • Limited communication

ability • Limited storage space • Powerful sensing

ability • Limited power supply • Intelligence and self-

learning ability • Wide service coverage

common specific

• real-time processing • High power consumption • Best effort delivery • Backend predominant analysis • Complicated operational

environment • Always-on and stability • High precision • Strict time delay tolerance

• Individualization • Powerful communication ability • Location awareness

WDMS

WDSS

WDHS

WDAS

Ⅱ Our ITU-T Standardization Process Requirements

• Antennas and battery parameters are constrained

• Support learning ability

• Support asynchronous communication method

• Support energy saving management capabilities

common specific

• Network assisted positioning • Support voice communication

• Complex environment adaptability • Powerful remote processing ability • Delay tolerant communications

• Alarm mechanisms and warning • Accuracy in sensing and analysis • Reliable data communication • Security mechanism

WDMS

WDSS

WDHS

WDAS

• High and reliable communication • Real-time data processing

Ⅱ Our ITU-T Standardization Process Capabilities

• Wearable communication capability

• Intelligent and self-learning capability

• Sensitive data protection capability

• Effective energy management capability

common specific

• Network assisted locating • User-friendly network interaction • Voice and instant message

communication

• Delay tolerant communicating • Remote processing capability • Complex environment support

• Sensing accuracy and stability • Alarming capability • Healthcare support

WDMS

WDSS

WDHS

WDAS

• Real-time processing capability • Powerful communication

Table of contents

ⅠIoT Standards

Ⅱ Our ITU-T Standardization Process

Ⅲ Smart IoT

Ⅲ Smart IoT

Smart IoT

Foundation Perception

Link Network

Core Data

Objective Intelligence

Form Platform

Perceptual intelligence

Network intelligence

Data intelligence

LPWA

NFV

Cloud computing

Artificial intelligence

Massive IoT Edge computing

Energy collection

Intelligent IoT ecosystem

Network IntelligenceData

Perception

Data modeling

Knowledge graph

Intelligent learning

Intelligent processing

Intelligent chip

Context-awareness

Intelligent open IoT platform

Open ability Open source system

Intelligent appllication

Ⅲ Smart IoT Cognitive science

Research direction

Cognitive science

Network science

Data science

Open IoT platform

Context-awareness

• Multimedia sensor network • Semantics • Crowd sensing

Intelligent chip • Sleeping mechanism • Energy harvesting

Intelligent processing • Cloud-fog computing • Computation centric self

organizing fog computing • Virtual multimodal edge

processing

Ⅲ Smart IoT Network science

Research direction

Cognitive science

Network science

Data science

Open IoT platform

Heterogeneous Network • Heterogeneous seamless

handover • Parallel multi access • Service-aware adaptive

transmission

Resource management • Core network slicing • Core network service mapping • Interaction between networks

Safety and reliability

• Block chain technology • Self governance

Ⅲ Smart IoT Data science

Research direction

Cognitive science

Network science

Data science

Open IoT platform

Data modeling • Pattern recognition • Neural network

Intelligent learning • Incremental learning from data • Automatic adjustment and

assessment • Swarm intelligence

Knowledge graph • Fast query technique and rule

discovery method • Stability • Self evolution and self-adaption • Knowledge association map

Ⅲ Smart IoT Open IoT platform

Research direction

Cognitive science

Network science

Data science

Open IoT platform

Open ability • Manage resource interface • Unified management and

scheduling of resources • Users access and network

management

Open source system • Open source community • Open licensed agreement

Intelligent application • Intelligent agriculture • Intelligent driving • Smart energy • …

Ⅲ Smart IoT Future work

IoT system: • Run on small form factor

low power devices • Billions of devices • Sophisticated

management systems Key factor for IoT: • Programmability • middleware • open application

programmable interfaces

IoT

OAI

Thank you for your listening!