IoT Standardization Process and Smart IoT · 2017. 5. 3. · • Personal data protection •...
Transcript of IoT Standardization Process and Smart IoT · 2017. 5. 3. · • Personal data protection •...
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!