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A.De
1
Aloknath De, Ph.D.(McGill)
Corp VP—Samsung Electronics
CTO, Samsung R&D India (SRI-B)
Internet of Things – Introduction
*Gartner, July 2014
The Internet of Things (IoT)
is the network of physical
objects that contains
embedded
technology to communicate
and sense or interact with
the objects' internal state
or the external
environment.*
3
IoT Players in the Value Chain – Industry Trends
Industry leaders from various verticals focus
on IoT as their next revenue model
Tiny chipsets, low-power connectivity, LTE
deployment and cloud infrastructure speeds-
up IoT deployment
A.De
4
IoTivity Technology Stack – Technical View
Discovery
Data
Transmission
Device
Management
Data
Management
Consumer Enterprise Industrial Automotive Health
IoT Profiles
IoT Framework
IoT Connectivity
 Common Solution
 Established Protocols
 Security & Identity
 Standardized Profiles
 Interoperability
 Innovation Opportunities
 Necessary connectivity
Security
A.De
5
IoTivity Topologies Supported
P2P Direct
OIC Client
OIC Intermediary
XMPP/
STUN/
TURN/ICE
Gateway
OIC Servers
OIC Client
Remote Access
Cloud
Gateway
OIC Servers
Cloud based
intelligent Services
Smart Device
Smart Appliance
Sensors, Wearables
OIC Server
OIC Client
6
Key Standards used in IoTivity
CoAP
TCP/UDP
IPv6
CoRE
Apps
6LoWPAN
*LLN – Low Power
Lossy Networks
Session Layer
Transport Layer
Network Layer
Presentation Layer
Application
Link Layer
Physical Layer
OSI Model TCP/IP
mapping on OSI
CoAP
UDP
IPv6/6LoWPAN
CoRE
Apps
BT 4.2
6LoWPAN for BT LE
BT LE L2CAP
BT LE Link Layer
BT LE Physical
BT 4.2 (Supports Only Star &
Mesh is under progress)
CoAP
UDP
IPv6/6LoWPAN
CoRE
Apps
IEEE 802.15.4
IEEE 802.2 LLC/Other
LLC
IEEE 802.15.4 MAC
IEEE 802.15.4 PHY
868/915/2400 MHz
IEEE 802.15.4
(Supports both Star & Mesh)
MAC
Phy
OCF
Thread
Network Topology
LLN
LLN
A.De
7
IoT Consortiums Landscape
 Open Source Implementation for
P2P & Point to Multi Point
communication based on D-Bus
architecture
 Connectivity Standard for P2P & Group
communication based on Open
Standards.
 Alliance seeking to establish IP
as basis for connection of
Smart Objects
 Address need for a common
M2M Service Layer that can
be readily embedded within
various hardware and software
 Focuses on creating frameworks, use cases & test beds for real-world apps
across various industrial environments
Standard to connect devices
seamlessly at home & corporate
environment
Thread by Google - Mesh Networking
standard for IEEE 802.15.4 for
Connected Home scenarios
A.De
8
Open Interconnect Consortium
Evolved to
Open Connectivity Foundation (OCF)
A.De
9
Software-Defined Networking (SDN) to IoT
Separation of Control and Data Plane
Network controlled by SW Applications; suitable
for mobile network
Uses general purpose hardware and commodity
servers
Enables automated, policy-based control of even
massive network
Abstraction of Network Devices
Not reference by individual devices
Plug-and-play set up of IoT devices
Automatic remediation of security threats
Software-defined things (SDT)
Server Virtualization and Connections
Cloud network; one server acting as multiple servers
Architecture for network OS with service/application
oriented namespace
Between server: east-west traffic
Heterogeneity in IoT Networks
Lack of open IP-Based Connectivity; delay in IPv6 backbone
deployment
Efficient protocol and topology to form Heterogeneous
Mesh Networks
Objects and protocols have specific design; forcing them to
fit with common and singular protocol not good option.
IPv
Individual nodes and sensors potentially could
generate tons of data
Provisioning of edge computing/analytics turn
data into insights
Edge Computing and Analytics
10
SDN Benefits to IoT
Dynamic Load Management: This enables operators to monitor and orchestrate automatic
changes in bandwidth given overall network load. Ideal for global IoT providers readying for
exponential increases in devices and data.
Service Chaining: This enables operators to provision virtual security features like VPNs,
firewalls and authentication and fix policy tolerances for performance in line with given
subscriber’s entitlements. Also, distribution possible for NAT, DPI, Access control etc.
Bandwidth Calendaring: This allows operators to schedule when and how much traffic a
customer or application will need at specific time. Applicable to IoT services as many
devices send data periodically only.
Data Modeling and Parameters
Connectivity, Robustness
Real-time, Delay, Jitter, QoS
Security, Reliability
A.De
11
What’s hindering IoT?
Fragmentation
Multiplicity of standards
No cross-industrial standard / reference design
Interoperability issues at different levels of
software and hardware
Security & Privacy
Secure and authorized access
Privacy of User Data
Models for decentralized authentication
Data integrity at consumer devices
Device & Data Management
Seamless plug-n-play of sensor nodes
Managing millions of connected smart objects &
real time event handling
Handling the huge data generated by IoT devices
Software, Services and Algorithms
Lack of open IP-Based Connectivity
Delay in IPv6 deployment
Low Power “Self-healing sensor Network”
Efficient protocol and topology to form Heterogeneous
Mesh Networks
Creating flexible and scalable systems
IPv
Collective Intelligence
Individual nodes and sensors may not be
“Smart” enough
Need to leverage big data and cluster of
sensors/device to bring in collective intelligence
A.De
12
IoT Business Opportunity and Analytics
*Source: Mckinsey Report – June 2015 / Gartner Report – Nov 2015
• Interoperability required to capture 40% of
total value
• < 1% of data from devices or sensors currently
used (more can be used for optimization &
prediction)
Category 2015 2016 2020
Consumer 3023 4024 13509
Business Cross Industry 815 1092 4408
Business:
Vertical-Specific
1065 1276 2880
Grand Total 4902 6392 20797
IoT Units Installed Base by Category
Predicted revenue verticals
13
Webinar Presenter (follow linkedin or twitter: @AloknathDe)
cfd

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Io t a_de_techgigwebinar_04nov2016

  • 1. A.De 1 Aloknath De, Ph.D.(McGill) Corp VP—Samsung Electronics CTO, Samsung R&D India (SRI-B)
  • 2. Internet of Things – Introduction *Gartner, July 2014 The Internet of Things (IoT) is the network of physical objects that contains embedded technology to communicate and sense or interact with the objects' internal state or the external environment.*
  • 3. 3 IoT Players in the Value Chain – Industry Trends Industry leaders from various verticals focus on IoT as their next revenue model Tiny chipsets, low-power connectivity, LTE deployment and cloud infrastructure speeds- up IoT deployment
  • 4. A.De 4 IoTivity Technology Stack – Technical View Discovery Data Transmission Device Management Data Management Consumer Enterprise Industrial Automotive Health IoT Profiles IoT Framework IoT Connectivity  Common Solution  Established Protocols  Security & Identity  Standardized Profiles  Interoperability  Innovation Opportunities  Necessary connectivity Security
  • 5. A.De 5 IoTivity Topologies Supported P2P Direct OIC Client OIC Intermediary XMPP/ STUN/ TURN/ICE Gateway OIC Servers OIC Client Remote Access Cloud Gateway OIC Servers Cloud based intelligent Services Smart Device Smart Appliance Sensors, Wearables OIC Server OIC Client
  • 6. 6 Key Standards used in IoTivity CoAP TCP/UDP IPv6 CoRE Apps 6LoWPAN *LLN – Low Power Lossy Networks Session Layer Transport Layer Network Layer Presentation Layer Application Link Layer Physical Layer OSI Model TCP/IP mapping on OSI CoAP UDP IPv6/6LoWPAN CoRE Apps BT 4.2 6LoWPAN for BT LE BT LE L2CAP BT LE Link Layer BT LE Physical BT 4.2 (Supports Only Star & Mesh is under progress) CoAP UDP IPv6/6LoWPAN CoRE Apps IEEE 802.15.4 IEEE 802.2 LLC/Other LLC IEEE 802.15.4 MAC IEEE 802.15.4 PHY 868/915/2400 MHz IEEE 802.15.4 (Supports both Star & Mesh) MAC Phy OCF Thread Network Topology LLN LLN
  • 7. A.De 7 IoT Consortiums Landscape  Open Source Implementation for P2P & Point to Multi Point communication based on D-Bus architecture  Connectivity Standard for P2P & Group communication based on Open Standards.  Alliance seeking to establish IP as basis for connection of Smart Objects  Address need for a common M2M Service Layer that can be readily embedded within various hardware and software  Focuses on creating frameworks, use cases & test beds for real-world apps across various industrial environments Standard to connect devices seamlessly at home & corporate environment Thread by Google - Mesh Networking standard for IEEE 802.15.4 for Connected Home scenarios
  • 8. A.De 8 Open Interconnect Consortium Evolved to Open Connectivity Foundation (OCF)
  • 9. A.De 9 Software-Defined Networking (SDN) to IoT Separation of Control and Data Plane Network controlled by SW Applications; suitable for mobile network Uses general purpose hardware and commodity servers Enables automated, policy-based control of even massive network Abstraction of Network Devices Not reference by individual devices Plug-and-play set up of IoT devices Automatic remediation of security threats Software-defined things (SDT) Server Virtualization and Connections Cloud network; one server acting as multiple servers Architecture for network OS with service/application oriented namespace Between server: east-west traffic Heterogeneity in IoT Networks Lack of open IP-Based Connectivity; delay in IPv6 backbone deployment Efficient protocol and topology to form Heterogeneous Mesh Networks Objects and protocols have specific design; forcing them to fit with common and singular protocol not good option. IPv Individual nodes and sensors potentially could generate tons of data Provisioning of edge computing/analytics turn data into insights Edge Computing and Analytics
  • 10. 10 SDN Benefits to IoT Dynamic Load Management: This enables operators to monitor and orchestrate automatic changes in bandwidth given overall network load. Ideal for global IoT providers readying for exponential increases in devices and data. Service Chaining: This enables operators to provision virtual security features like VPNs, firewalls and authentication and fix policy tolerances for performance in line with given subscriber’s entitlements. Also, distribution possible for NAT, DPI, Access control etc. Bandwidth Calendaring: This allows operators to schedule when and how much traffic a customer or application will need at specific time. Applicable to IoT services as many devices send data periodically only. Data Modeling and Parameters Connectivity, Robustness Real-time, Delay, Jitter, QoS Security, Reliability
  • 11. A.De 11 What’s hindering IoT? Fragmentation Multiplicity of standards No cross-industrial standard / reference design Interoperability issues at different levels of software and hardware Security & Privacy Secure and authorized access Privacy of User Data Models for decentralized authentication Data integrity at consumer devices Device & Data Management Seamless plug-n-play of sensor nodes Managing millions of connected smart objects & real time event handling Handling the huge data generated by IoT devices Software, Services and Algorithms Lack of open IP-Based Connectivity Delay in IPv6 deployment Low Power “Self-healing sensor Network” Efficient protocol and topology to form Heterogeneous Mesh Networks Creating flexible and scalable systems IPv Collective Intelligence Individual nodes and sensors may not be “Smart” enough Need to leverage big data and cluster of sensors/device to bring in collective intelligence
  • 12. A.De 12 IoT Business Opportunity and Analytics *Source: Mckinsey Report – June 2015 / Gartner Report – Nov 2015 • Interoperability required to capture 40% of total value • < 1% of data from devices or sensors currently used (more can be used for optimization & prediction) Category 2015 2016 2020 Consumer 3023 4024 13509 Business Cross Industry 815 1092 4408 Business: Vertical-Specific 1065 1276 2880 Grand Total 4902 6392 20797 IoT Units Installed Base by Category Predicted revenue verticals
  • 13. 13 Webinar Presenter (follow linkedin or twitter: @AloknathDe) cfd