IoT Standardization Process and Smart IoT

Transcription

1 IoT Standardization Process and Smart IoT Reporter: Linpei Li Joint BUPT-Eurecom Open5G Lab

2 Table of contents ⅠIoT Standards Ⅱ Our ITU-T Standardization Process Ⅲ Smart IoT

3 Table of contents ⅠIoT Standards Ⅱ Our ITU-T Standardization Process Ⅲ Smart IoT

4 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

5 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)

6 ⅠIoT Standards Infrastructure protocols RPL A link-independent routing protocol based on IPv6 for resource-constrained nodes A DODAG represents the core of RPL Two modes of operation IEEE 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 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 LTE-A Encompass a set of cellular communication protocols that fit for MTC and IoT infrastructures Physical layer : OFDMA Architecture : CN and RAN

7 ⅠIoT Standards Machine-to-Machine Communication (M2M) is a foundation capacity for IoT. 1 Services Layer 1. ITU-T 2. ETSI 3. onem2m 4. TIA 5. ATIS M2M/IoT Standards 2 Communication Layer 1. 3GPP 2. 3GPP2 3. IETF 4. IEEE 3 Data Layer 1. OGC 2. OASIS 3. OMG

8 ⅠIoT Standards Standards-Services: ITU-T Connectivity Support Support the establishment and management of M2M connections between M2M entities e.g.: provision M2M connections Device Management Realize functions to support management process dealing with M2M devices e.g.: firmware update, bootstrapping Service enablement Realize a software environment and a set of interface to support development, deployment and execution of M2M applications Application Support Includes functions specific to the support of multiple M2M device types, multiple interconnection technologies and involving multiple network providers.

9 ⅠIoT Standards Standards-Communications 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

10 ⅠIoT Standards Standards-Data Definition of data models Modeling of systems and processing of the observation OGC Establish a Sensor Web Framework (SWF) Discovery of sensors and their associated observations Exchange of observation data Processing of sensor observations Discovery of feasible observations and the tasking of sensors and sensor systems

11 Table of contents ⅠIoT Standards Ⅱ Our ITU-T Standardization Process Ⅲ Smart IoT

12 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 Definition WDMS a class of WDS specifically providing the user with multimedia content, virtual reality and social communication WDHS a class of WDS specifically providing the user with services for personal health management and state monitoring WDSS a class of WDS specifically providing the user with services for sports activity recording, analysis and planning WDAS a class of WDS specifically providing the user with applications and control mechanisms useful to improve work efficiency

13 Ⅱ Our ITU-T Standardization Process WDs and WDS in IoT Multimedia Sports Watching videos WDS Gateway Network Virtual tour Analysis result process Video games Cellular LPWA Wi-Fi Bluetooth Fiber Cloud servers Cable Satellite Access Technology Etc Behavior analysis Exercise direction Head Arm Data recording Torso Tactics E-commerce Hand Remote nursing Action assistant WDs. Feet Fitness monitoring IoT Locating Leg & waist movement assistance Health Wearable devices Electronic secretary Personal Assistance

14 Ⅱ Our ITU-T Standardization Process Characteristics common specific Wearability Personal data protection Limited communication ability Limited storage space Powerful sensing ability Limited power supply Intelligence and selflearning ability Wide service coverage 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

15 Ⅱ Our ITU-T Standardization Process Requirements common specific Antennas and battery parameters are constrained Support learning ability Support asynchronous communication method Support energy saving management capabilities High and reliable communication Real-time data processing Complex environment adaptability Powerful remote processing ability Delay tolerant communications Alarm mechanisms and warning Accuracy in sensing and analysis Reliable data communication Security mechanism Network assisted positioning Support voice communication WDMS WDSS WDHS WDAS

16 Ⅱ Our ITU-T Standardization Process Capabilities common specific Wearable communication capability Intelligent and selflearning capability Sensitive data protection capability Effective energy management capability Real-time processing capability Powerful communication Delay tolerant communicating Remote processing capability Complex environment support Sensing accuracy and stability Alarming capability Healthcare support Network assisted locating User-friendly network interaction Voice and instant message communication WDMS WDSS WDHS WDAS

17 Table of contents ⅠIoT Standards Ⅱ Our ITU-T Standardization Process Ⅲ Smart IoT

18 Ⅲ Smart IoT Perception Foundation LPWA Intelligent IoT ecosystem Cloud computing Network Link Network intelligence Data intelligence Data Core Intelligence Objective Smart IoT NFV Massive IoT Perceptual intelligence Edge computing Intelligent open IoT platform Open ability Open source system Energy collection Intelligent appllication Artificial intelligence Platform Form Network Data modeling Contextawareness Data Intelligent learning Perception Intelligent chip Knowledge graph Intelligent processing Intelligence

19 Ⅲ Smart IoT Cognitive science Cognitive science Context-awareness Multimedia sensor network Semantics Crowd sensing Research direction Network science Data science Open IoT platform Intelligent chip Sleeping mechanism Energy harvesting Intelligent processing Cloud-fog computing Computation centric self organizing fog computing Virtual multimodal edge processing

20 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

21 Ⅲ Smart IoT Data science Cognitive science Data modeling Pattern recognition Neural network Research direction Network science Data science Open IoT platform 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

22 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

23 Ⅲ Smart IoT Future work IoT 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 OAI

24 Thank you for your listening!