IEEE CS Phoenix - Internet of Things Innovations & Megatrends Update

Internet of Things (IoT)
Innovations & Megatrends Update
Wednesday, December 13, 2017
Mark Goldstein, International Research Center
PO Box 825, Tempe, AZ 85280-0825, Phone: 602-470-0389,
markg@researchedge.com, URL: http://www.researchedge.com/
Presentation Available at http://www.slideshare.net/markgirc
© 2017 - International Research Center
Arizona Chapter
Phoenix Chapter
http://ewh.ieee.org/r6/phoenix/compsociety/

Internet of Things (IoT) Presentation Outline
IoT Overview and Ecosystems
IoT Computing Platforms and Sensors
IoT Gateways, Programming, and Platforms
IoT Network Connections
IoT Application Arenas
• Consumer and Home Automation
• Healthcare and Life Science
• Retail and Logistics
• Industrial Internet of Things (IIoT)
• Smart Buildings
• Smart Cities and Environment
• Transportation
IoT Security, Privacy, and Blockchain
IoT Standards and Organizations
IoT Big Data, Applications, and Analytics
IoT Business Models and Outlook

https://en.wikipedia.org/wiki/The_Third_Wave_(Toffler_book) (1980)

Source: Teradata Corporation
Internet of Things Basics

Source: Postscapes (http://postscapes.com/)

Source: IDC & Peplink 2015
IoT Vision

Source: TE Connectivity
IoT Adoption Landscape

IoT Solutions Architecture
Source: TechBeacon (https://techbeacon.com/4-stages-iot-architecture)

https://thumbs.dreamstime.com/z/internet-things-word-cloud-words-which-
related-to-concept-iot-refers-to-uniquely-38616417.jpg

The Exponential Curve of Technological Innovations
Leading Up to the Singularity

http://www.intel.com/content/www/us/en/
embedded/embedded-design-center.html

Arduino Mega 2560
Raspberry Pi 2 Model B Nwazet Pi Media Center
Night Vision Camera Modules
MicroSD Card Adapter
BLE Mini Bluetooth 4.0 Interface
Arduino, Raspberry & Other Microcontrollers
Ultimate GPS Breakout
UDOO Quad Core w/SATA

16GB NOOBS
SD Card
Raspberry Pi
Camera Board
PiFace Relay+
https://www.element14.com/community/community/raspberry-pi/

AT&T Dedicated IoT Starter Kit for Amazon Web Services
https://starterkit.att.com/

https://www.raspberrypi.org/products/pi-zero/
The Raspberry Pi Zero is half the size of
a Model A+, with twice the utility. A tiny
Raspberry Pi that’s affordable enough
for any project!
• 1Ghz, Single-core CPU
• 512MB RAM
• Mini HDMI & USB On-The-Go ports
• Micro USB power
• HAT-compatible 40-pin header
• Composite video & reset headers
• Can utilize Raspbian Jessie OS Adafruit Raspberry Pi Zero Starter Pack
http://www.adafruit.com/products/2816
65 mm x 30 mm x 5 mm

http://www.ti.com/product/cc2541
The Texas Instruments
CC2541 is a power-
optimized true system-on-
chip (SoC) solution for
both Bluetooth low energy
and proprietary 2.4-GHz
applications. It enables
robust network nodes to
be built with low total bill-
of-material costs. The
CC2541 combines the
excellent performance of a
leading RF transceiver
with an industry-standard
enhanced 8051 MCU, in-
system programmable
flash memory, 8-KB RAM,
and many other powerful
supporting features and
peripherals. The CC2541 is
highly suited for systems
where ultralow power
consumption is required.
TI CC2541 SOC

Intel’s Edison computer is housed in an SD card form factor and comes with built-
in Linux and both Wi-Fi and Bluetooth wireless. The computer, which is based on
Intel's 22-nanometer Quark chips, can be the basis for a new wave of products
and will become available summer 2014. Source: eWeek

Intel Curie Module Unleashing Wearable Device Innovation
http://www.intel.com/content/www/us/en
/wearables/wearable-soc.html
Intel’s Curie module is a complete low-
power solution for the wearable space
with compute, motion sensor, Bluetooth
Low Energy, and battery charging
capabilities.
Key Features:
• Low-power, 32-bit Intel Quark SE SoC
• 384kB Flash memory, 80kB SRAM
• Small and efficient open source real-
time operating system (RTOS)
• Low-power integrated DSP sensor hub
with a proprietary pattern matching
accelerator
• Bluetooth Low Energy
• 6-Axis combo sensor with
accelerometer and gyroscope
• Battery charging circuitry (PMIC)
• Released January, 2015

Approximately 26 mm x 35 mm
https://software.intel.com/en-us/node/675623

Netclearance Systems, Inc.’s (NCS) mBeaconSense hub embeds temperature, vibration,
accelerometer, magnetic, and light sensors into a 15mm x 20mm form factor making it the
industry's smallest beacon technology to incorporate multiple data sensors into one device.
Combined with the Netclearance Systems' Wi-Fi, Ethernet, and mesh gateways,
mBeaconSense enables multiple remote sensing capabilities in a single tag allowing for
streamlined, and cost-effective deployments. mBeaconSense includes everything necessary
to create next generation IoT sensing capabilities utilizing low power Bluetooth and Wi-Fi.
The mBeaconSense incorporates a near field communication (NFC) antenna and memory to
provide close proximity passive identification capabilities making the product both a hybrid
passive and active tag. http://www.netclearance.com/

This summer, ASUS will launch a new type of Chrome device: the Chromebit.
Smaller than a candy bar, the Chromebit is a full computer that will be available
for less than $100. By simply plugging this device into any display, you can turn it
into a computer. It’s the perfect upgrade for an existing desktop and will be really
useful for schools and businesses.
Source: http://chrome.blogspot.com/2015/03/more-chromebooks-for-everyone.html
ASUS Chromebit Turns Any TV into a Chrome PC
• Rockchip RK3288 (with quad-core Mali 760 graphics)
• 2GB of RAM, 16GB of solid state storage
• Plugs into any HDMI-equipped display
• Dual-band 802.11ac Wi-Fi, Bluetooth 4.0, USB 2.0 port

http://www.intel.com/content/www/us/en/compute-stick/intel-compute-stick.html
Intel Compute Stick

SunFounder 37 Modules Raspberry Pi B+ Sensor Kit
http://www.sunfounder.com/index.php?c=show&id=47&model=Sensor%20Kit%20for%20B+
Detailed tutorial, source code
& 32 lessons on project DVD

Sensor Cluster Trends for Mobile Phones
(Inertial Measurement Units)
AMS AV-MLV-P2 is a volatile organic compounds (VOC) gas sensor which can detect
alcohols, aldehydes, ketones, organic acids, amines, aliphatic and aromatic hydrocarbons.

Source: EDN Magazine
Wikipedia on Smart Dust:
http://en.wikipedia.org/wiki/Smartdust
Wikipedia on Wireless Sensor Network (WSN):
http://en.wikipedia.org/wiki/Wireless_sensor_network
Smart Dust Motes for
Wireless Sensor
Networks
(WSN)
Multihop Wireless Sensor Network

MEMSIC Accelerometer Structure and Chip Integration
Creating a sensor-based IoT edge device is challenging, due to the multiple
design domains involved. But, creating an edge device that combines the
electronics using the traditional CMOS IC flow and a MEMS sensor on the same
silicon die can seem impossible. In fact, many IoT edge devices combine multiple
dies in a single package, separating electronics from the MEMS design. The
Tanner AMS IC design flow accommodates single or multiple die techniques for
successful IoT edge device design and verification, able to meet the unique
challenge of fusing CMOS IC and MEMS design on a single die.
Source: Mentor Graphics

Source: Cymbet
Energy Harvesting Sweet Spot

http://www.electronicproducts.com/Po
wer_Products/Power_Management/Ne
w_mineral_can_simultaneously_convert
_movement_sunlight_and_heat_into_el
ectricity.aspx
Source: Electronic Products 2/17

IoT Gateways,
Programming, and Platforms

Representative IoT End-to-End Business Solution
Definition of an IoT Platform: An IoT platform is a software suite or cloud service (IoT
platform as a service) that facilitates operations involving IoT endpoints (such as sensors,
devices, multidevice systems and fleets), and cloud and enterprise resources. The platform
monitors IoT event streams, enables specialized analysis and application development, and
engages back-end IT systems, and it may help control the endpoints to support IoT
solutions. Source: Gartner 3/17

Essential Elements of an IoT Platform
Source: SDxCentral

Telit m2m AIR Mobile Core Service
http://www.telit.com/

https://octoblu.com/ (Now part of Citrix)
Full-Stack IoT Messaging and Automation Platform

AWS IoT Architecture
Source: VDC Research

Azure IoT Suite Overview
Source: VDC Research

IoT Challenges and Cisco Jasper/Tele2 Solutions

Google’s Serverless Cloud IoT platform
Google Cloud IoT is a comprehensive set of fully managed and integrated services that
allow you to easily and securely connect, manage, and ingest IoT data from globally
dispersed devices at a large scale, process and analyze/visualize that data in real time, and
implement operational changes and take actions as needed. Device data captured by Cloud
IoT Core gets published to Cloud Pub/Sub for downstream analytics. You can do ad hoc
analysis using Google BigQuery, easily run advanced analytics and apply machine learning
with Cloud Machine Learning Engine, or visualize IoT data results with rich reports and
dashboards in Google Data Studio. https://cloud.google.com/solutions/iot/

IoT Connection Technology Summary
Source: Rohde & Schwartz

IoT Connection Data Rate and Range Needs
Source: Rohde & Schwartz

https://www.bluetooth.com/specifications/bluetooth-core-specification/bluetooth5

Wi-Fi Ecosystem is Undergoing Change
http://www.wirelessdesignmag.com/article/2016/05/
now-80211ac-wave-1-rolled-out-whats-next-wi-fi
IEEE 802.11ah Requirements to
Support M2M Communications:
• Up to 8,191 devices associated
with an access point (AP)
through a hierarchical identifier
structure
• Carrier frequencies of
approximately 900 MHz (license-
exempt) that are less congested
and guarantee a long range
• Transmission range up to 1 km
in outdoor areas
• Data rates of at least 100 kbps
• One-hop network topologies
• Short and infrequent data
transmissions (data packet size
approximately 100 bytes and
packet inter-arrival time greater
than 30 s)
• Very low energy consumption
by adopting power saving
strategies
• Cost-effective solution for
network device manufacturershttp://www.ieee802.org/11/Reports/tgah_update.htm

M2M Unlicensed Wireless Communications Comparison
Source: IEEE 802.11ah: The Wi-Fi Approach for M2M Communications Paper 10/14

Source: Link Labs
Low Power Wide Area
Networks (LPWAN)

Source: Cisco
Evolution of Mobile Standards

Typical Cellular IoT Use Cases
Source: 4G Americas

5G Scalability to Address Diverse Services and Devices
Source: Qualcomm

Potential 5G Services Bandwidth & Latency Requirements
Source: GMSA, Heavy Reading

IoT Connection Technologies Operating Range
Source: Keysight Technologies

The Smart Home as a Service combines web intelligence, smart home sensors,
data centers, with intelligence living in the cloud – all administered by service
providers. Source: Qorvo Low Power Wireless

https://nest.com/thermostat
/life-with-nest-thermostat/
Nest Thermostat Printed
Circuit Board Layout
Source: Mentor Graphics

https://www.cs.cmu.edu/news/internet-
things-made-simple-one-sensor-
package-does-work-many
http://www.gierad.com/projects/supersensor/

LEDs can be engineered to produce practically any desired spectrum of visible
light. Blue or violet LEDs pump mixes of phosphors, which down-convert some of
the light and mix with the pump color to produce something humans perceive as
white light. Near-monochrome LEDs, whose spectrum amounts to a single sharp
peak, can be mixed at varying intensities to produce light of any apparent color in
a wide gamut. Hue is controlled over WiFi. The bulbs and router talk amongst
themselves using a wireless mesh network protocol called ZigBee, IEEE 802.15.4.
Source: Phillips (http://meethue.com/en-us/)

Sengled Pulse
AwoX StriimLIGHT
MiPow PlayBulb Color
Klipsch LightSpeakers
http://www.klipsch.com/lightspeaker-
in-ceiling-lighting-and-audio-systemhttp://www.playbulb.com/en/playbulb-color.html
http://www.awox.com/connected
-lighting/awox-striim-light/
http://www.sengled.com/product/pulse
LED Light Bulbs That Play Audio

Japanese Super Toilet: This luxury toilet from Japan has controls for almost every
aspect of the bathroom experience. It can warm the seat, give a massage, play
music, adjust the height and temperature of the bidet stream (that plastic tube
allows the tester in the showroom to see the height of the stream without getting
water on the floor), and much more. It can even make flushing sounds -- without
actually flushing -- to cover up the sounds of embarrassing body functions.
Source: Contractor Magazine 4/15

Healthcare and Life Sciences
(Including Wearables)

http://internetofthingsagenda.techtarget.com/

Source: The Atlantic Council & Intel Security

Source: U.S. Chamber of Commerce 2017

Selected Consumer Wearables
http://www.bresslergroup.com/blog/learning-wearables-looking-edges/

Micro-Systems Used in Healthcare Applications
Source: Yole Development

Atomo Diagnostics is a medical technology company bringing next generation rapid diagnostic
solutions to market and radically changing the way that we diagnose disease. AtomoRapid has
launched in Africa and the UK, and USA market entry is underway. The AtomoRapid blood
testing platform can accommodate test strips for a wide variety of conditions from celiac
disease, allergy through to infectious diseases such as malaria and HIV. Also offering
AtomoRapid to leading diagnostic companies interested in converting their rapid tests onto
this revolutionary rapid test platform.
http://atomodiagnostics.com/
AtomoRapid Blood Testing Platform

https://www.theengineer.co.uk/
diagnostic-d4-disease/

Integrated Lab-On-A-Chip Uses Smartphone to
Quickly Detect Multiple Pathogens
The system uses a commercial smartphone to acquire and interpret real-time images of an
enzymatic amplification reaction that takes place in a silicon microfluidic chip that
generates green fluorescence and displays a visual read-out of the test at the point-of-care.
The system is composed of an unmodified smartphone and a portable 3-D-printed cradle
that supports the optical and electrical components, and interfaces with the rear-facing
camera of the smartphone. (Credit: Micro & Nanotechnology Laboratory, University of
Illinois at Urbana-Champaign) Source: https://www.mdtmag.com/news/2017/10/integrated-
lab-chip-uses-smartphone-quickly-detect-multiple-pathogens

Source: IEEE Spectrum 11/14
Perspiration Biosensor Patches

https://www.eurekalert.org/pub_releases/
2017-08/dgi-st082017.php
https://www.nature.com/
articles/ncomms15894

http://www.uh.edu/news-events/stories/2016/September/09272016-Researchers-Create-Glucose-Sensing-Contact-Lens.php

The world's first smartphone with a giant six-inch screen and a built-in ADI (U.S.,
http://www.analog.com/) spectrometer running integrated software by Consumer Physics
(U.S., https://www.consumerphysics.com/) and manufacturers by electronics giant Sichuan
Changhong Electric Co. (China). (Source: Sichuan Changhong Electric)
External Bluetooth spectrometers include the SCiO Pocket
Molecular Sensor (https://www.consumerphysics.com/myscio/)
and Tellspec Handheld Spectrometer (http://tellspec.com/en/)

Medtronic Micra Pacemaker
http://newsroom.medtronic.com/phoenix.zhtml
?c=251324&p=irol-newsarticle&id=1883208 Ron Wilson
World's Smallest,
Minimally Invasive
Cardiac Pacemaker
Delivered directly
into the heart
through a catheter
inserted in the
femoral vein
at AZBio

http://mimobaby.com/
Add Pacif-i
Bluetooth
Smart Pacifier
for Temperature
Mimo Smart Baby Monitor
http://bluemaestro.com/pacifi-smart-pacifier/

First prize in the Qualcomm Tricorder XPrize was awarded to Final Frontier Medical Devices,
a team in Pennsylvania. The team, led by brothers Dr. Basil Harris, an emergency medicine
physician, and George Harris, a network engineer, created an artificial intelligence engine
called DxtER that learns to diagnose medical conditions via data from emergency medicine
and analyzing patients. Final Frontier Medical Devices was awarded $2.6 million at the
Qualcomm Tricorder XPrize ceremony on April 12, 2017.
http://www.zdnet.com/article/qualcomm-tricorder-xprize-goes-to-u-s-team-for-device-fusing-ai-iot-health/
https://tricorder.xprize.org/teams/final-frontier-medical-devices
Final Frontier Medical Devices DxtER Tricorder XPrize Winner

Continua Health Alliance Enables the
Personal Health Information Network (PHIN)
Source: Continua Health Alliance (http://www.continuaalliance.org/)

National Health Information Network (NHIN)
http://healthit.hhs.gov/portal/server.pt?open=512&mode=2&cached=true&objID=1142

http://weliveupnorth.com/plant-monitor/

Arable's Pulsepod Collects Hyperlocal Weather & Crop Data
http://www.arable.com/

Unmanned Aerial Systems (UAS) Potential Applications

Beacon Enabled Local Retail Offer Service
Source: GSA

Swirl iBeacon Platform and Ecosystem
http://www.swirl.com/

Industrial Internet of Things (IIoT)

Source: LNS Research
Flattening of the Industrial Networking Architecture

Wireless Connection Technologies for Industrial IoT
Source: Texas Instruments

Creating an Intelligent Building Starts with Sensors and LED Lighting
Source: EEWeb Sensor Technology

Enterprise Internet of Things (EIoT)
Source: Cisco

Intelligent Buildings Value Chain
Source: Frost & Sullivan

Source: FutureStructure Water, Waste & Energy Systems 6/14

http://www.forbes.com/sites/jacobmorgan/2014/09/04/cities-of-the-future-
what-do-they-look-like-how-do-we-build-them-and-whats-their-impact/
Cities of the Future: What Do They Look Like, How
Do We Build Them, and What's Their Impact?

In a study of air pollution, a small pollution sensor was used to measure black carbon level
continuously, combined with an Android smartphone with CalFit software for recording GPS
information on user location. The indoor/outdoor study of 54 Barcelona schoolchildren was
associated with BREATHE, an epidemiological study of the relation between air pollution
and brain development. The researchers conclude that mobile technologies could contribute
valuable new insights into air pollution exposure. Source: Kurzweil AI
http://www.kurzweilai.net/turning-smartphones-into-personal-real-time-pollution-location-monitors
Smartphones as Personal, Real-Time Pollution-Location Monitors

The Array of Things (AoT) is an NSF grant
funded urban sensing project to implement a
network of interactive, modular sensor boxes
that will be installed around Chicago to
collect real-time data on the city’s
environment, infrastructure, and activity for
research and public use. The nodes will
initially measure temperature, barometric
pressure, light, vibration, carbon monoxide,
nitrogen dioxide, sulfur dioxide, ozone,
ambient sound intensity, pedestrian and
vehicle traffic, and surface temperature.
Continued research and development will
help create sensors to monitor other urban
factors of interest such as flooding and
standing water, precipitation, wind, and
pollutants. See: http://arrayofthings.github.io/

Source: Ayushi Agrawal/Apple 2015
https://www.linkedin.com/pulse/big-data-analytics-internet-things-ayushi-agrawal

The Intel Intelligent Systems Framework provides a consistent framework for
connectivity, security, and manageability. Flexible developer ‘recipes’ use
scalable, off-the-shelf elements that in turn, shift resource investments from
interoperability to extracting value from data.
http://www.intel.com/content/www/us/en/embedded/intelligent-systems.html

Source: GSMA
Mobile Operators Can Enable Smart City Services

Smart City Multidimensional Factors
Source: Beecham Research

Source: Nesta 2014 (http://www.nesta.org.uk/blog/smart-cities-and-china)

1) A growing adoption and awareness of the smart city concept by an expanding set of
government leaders. Not only does IDC see more demand for strategy development and
implementation road maps, but the requests come from cities, counties, states and central/federal
government agencies. We predict that by 2017, at least 20 of the world’s largest countries will
create national smart city policies to prioritize funding and document technical and business
guidelines.
2) A high variability in understanding the impact of the Internet of Things (IoT) and the
benefits and challenges that must be considered from new types of mobile and connected
things (drones, wearables, connected cars). We continue to see many of the same cities
investing in the smart city IoT, but even for cities with pilot projects, there is a lack of citywide
strategy at the level of guidelines for implementations. As such, we predict that in 2016, 90 percent
of cities worldwide will lack a comprehensive set of policies on the public and private use of drones,
sensors and devices. This will result in increased privacy and security risks. Similarly, we see a
more acute and faster adoption of public safety and transportation IoT investment, often without a
strategic framework, which IDC believes will lead to more project risk and wasted spending, such
as spending on duplicative systems or devices.
3) Information from social media, crowdsourcing and sharing economy companies will have
a greater impact on cities. Cities are grappling with how to ingest this data into systems and put it
to use. Not only is this data unstructured in the form of text, video, images and audio, but it also
comes from a variety of sources that exist independent of government. This presents a challenge
since data from these sources can be highly relevant and useful for improving government services.
The Waze traffic app is a great example of this — crowdsourced traffic information for commuters, if
integrated with systems in the transportation management center, would help operators update
digital signs more quickly, potentially adjust traffic signals and dispatch responders more quickly.
But getting this information into existing systems is not a simple task. Source: IDC 2016
Smart City Trends to Expect

https://www.cbinsights.com/research/iot-
smart-cities-market-map-company-list/

Intel In-Vehicle Solutions on YouTube: http://www.youtube.com/watch?v=Lk2XNc7qyJ0

Imaging Technologies for Automotive

Autonomous Vehicles (AV)
Source: General Motors 2017
Proprietary LIDAR Cost & Size Reduction

NHTSA’s Levels of Autonomous Vehicle Automation
Source: National Highway Traffic Safety Administration (NHTSA)

Automated Driving Technology Progression
Source: Navigant Research 2017

Vehicle Terminal Software Architecture
Source: Intel

Intelligent Transportation with IoT
Source: Intel

https://www.nytimes.com/2017/11/11/technology/a
rizona-tech-industry-favorite-self-driving-hub.html

https://www.wired.com/story/waymo-google-
arizona-phoenix-driverless-self-driving-cars/

Tesla Semi Electric Big-Rig Truck
with 500 Mile Range and
80,000 Pounds Cargo Capacity
https://www.tesla.com/semi/

https://techcrunch.com/2017/03/07/airbus-reveals-a-modular-self-piloting-flying-car-concept/

https://medium.com/@UberPubPolicy/fast-forwarding-to-a-future-of-on-demand-urban-air-transportation-f6ad36950ffa
http://uber.com/elevate/whitepaper

IoT Security, Privacy, and Blockchain

https://f5.com/labs/articles/threat-intelligence/ddos/ddoss-newest-minions-iot-devices-v1-22426

Internet of Things (IoT)
“Smart” devices incorporated into
the electric grid, vehicles including
autonomous vehicles, and
household appliances are improving
efficiency, energy conservation, and
convenience. However, security
industry analysts have demonstrated
that many of these new systems can
threaten data privacy, data integrity,
or continuity of services. In the
future, intelligence services might
use the IoT for identification,
surveillance, monitoring, location
tracking, and targeting for
recruitment, or to gain access to
networks or user credentials.
http://content.govdelivery.com/attachments/USODN
I/2016/02/09/file_attachments/496870/SASC%2B201
6%2BWWTA%2BSFR%2B-%2B9%2BFeb%2B16.pdf

Current technologies on the “privacy panic cycle”. (Adapted from Castro, D., & McQuinn, A.
(2015). The privacy panic cycle: a guide to public fears about new technologies.
Washington, D. C. Source: Information Technology & Innovation Foundation ITIF)
Privacy Panic Cycle

Securing an IoT Product or System
Source: Zentri

Internet of Things Security Attributes
Source: Hewlett Packard Enterprise

Source: Cambridge Centre for Alternative Financing

Applications of Blockchain in Networking and IoT
Source: CB Insights

https://standards.ieee.org/develop/wg/blockchain_wg.html
https://standards.ieee.org/develop/project/2418.html
P2418 - Standard for the Framework of
Blockchain Use in Internet of Things (IoT)

IoT Standards and Organizations

Source: IEEE Computer - Imagineering an Internet of Everything 6/14
Information Flow Between the Cyber and Physical Worlds

https://www.led-professional.com/technology/standardization/zigbee-alliance-and-thread-group-join-force
http://www.threadgroup.org/
http://www.zigbee.org/

Source: ZigBee Alliance (http://www.zigbee.org/zigbee-for-developers/zigbee3-0/)

http://www.upnp.org/
Universal Plug and Play Forum

IoT Groups Merge Efforts
OIC taps UPnP, eschewing rival AllSeen
The Open Interconnect Consortium will acquire assets of and combine its
technologies with those of the Universal Plug and Play Forum, a fifteen-year old
group focused on automating links between PCs and peripherals typically over
Wi-Fi. By adopting the UPnP’s widely used service discovery software and likely
many of its members, OIC will bolster its position as an applications-layer
software stack for the Internet of Things.
All sides agree the IoT is encumbered with too many competing and overlapping
platforms, networks, protocols and frameworks as the result of a land grab for
what is seen as the next big thing. With the deal, OIC gets an edge over its closest
rival, the AllSeen Alliance. However it’s not clear whether it gets the heft it will
need to stand out against the two giants in this space – Google’s Thread/Weave
and Apple’s HomeKit.
Currently, AllSeen has a lead in the market with more than 185 members and
shipping products using its specifications. OIC, which has about 100 members,
expects first products using its recently ratified spec to appear at CES in January.
Both OIC and AllSeen are hosted by the Linux Foundation.
Source: EE Times 11/23/15

http://www.eweek.com/networking/iot-standards-groups-ocf-allseen-alliance-merge.html

http://www.iiconsortium.org/test-beds.htm

http://www.w3.org/WoT/
http://www.w3.org/WoT/IG/

IoT Big Data,
Applications, and Analytics

Growth in M2M Connections Drive New Data Analytics Needs

Why the Internet of Things Matters

Internet of Things Data Value Chain
Source: Navigant Research

https://awsinsider.net/articles/2017/10/12/aw
s-microsoft-deep-learning-gluon.aspx
Source: AWSInsider.net 10/12/17

IBM Watson’s System Architecture

Adoption Across the Analytics Spectrum

Advanced Analytics Maturity Path
Source: Intel Corporation 2017

Big Data and Analytics MaturityScape
Source: IDC 2015

IoT Business Models
and Outlook

Future X Network Enabling a New Digital Era
Source: Bell Labs Consulting

https://f5.com/labs/articles/threat-intelligence/ddos/the-hunt-for-iot-the-rise-of-thingbots

Internet of Things Playbook
Source: Navigant Research

Internet of Things (IoT) Roadblocks
Those making their first foray into connected products can improve the success of their IoT programs by
understanding the following hazards.
• Too many inputs and too much data – Having too much data is nearly as bad as not having enough.
It’s easy to get excited about the promise of new technology. But overdoing it on early programs can
result in data explosion that overwhelms IT systems as well as stakeholders.
• Too many alarms – Nothing guarantees organizational disengagement from a supposedly smart
system than many “false positive” errors. False alarms are the spam of the IIoT world. They drown out
the actual errors and condition stakeholders to ignore system feedback.
• Missed critical alarms – If false positives are frustrating, a false negative can be catastrophically
damaging depending upon the system. No notification or late notification of a potential safety concern
can cause product, personnel, environmental or secondary damage, and can bring the program into
question.
• Unclear guidance – Feedback must be actionable, correct, and timely to the multiple stakeholders
involved. Feedback that is unclear or requires time-consuming offline analysis substantially reduces
system value.
• Unprepared Organization – connected products often require “connected organizations”.
Organizations may need to work together in new and different ways to realize revenue and margin
projections.
• Customer Backlash – Even in cases where the customer clearly has the most to gain through a newly
connected product, there is a risk of customer backlash. Consumer privacy and security risks are
substantial concerns carrying the specter of legal action. Additionally, there is a risk of Government
charges. This US Federal Trade Commission Report provides a good overview of possible risks as
well as the FTC’s recommendations.
• Perceived cost versus benefit – Ideally, the success of an IIoT-enabled product would be easily
quantified. Cost for a connected product can be high, once infrastructure costs are considered. Costs
are often easier to measure than success, particularly if success is tied to lagging and less correlated
metrics such as customer satisfaction. Subjective comparison of cost versus success puts a program
at risk. Without positive proof of value and clearly defined and accepted targets, a single large adverse
event can undermine the program. Source: LNS Research

Internet of Things (IoT) Maturity Mode
Source: TDWI

IoT Success Requires an Ecosystem of
Internal and External Partnerships
Source: Cisco

https://cbi-blog.s3.amazonaws.com/blog/wp-
content/uploads/2016/10/Final-Graphic-2.png

12 Predictions for the IoT Market in 2018
1. IoT markets will consolidate and grow more integrated
2. IoT-related privacy concerns will continue, but won’t slow adoption
3. Technical barriers to IIoT will fade, but the talent gap will remain a
hurdle
4. 3G-driven IoT deployments will fade into obscurity
5. Industrial uses of AR technology will gain ground, but will remain
immature
6. Micro-location will be a star technology of 2018
7. IoT deployments will scale thanks to increased networking
automation
8. Pushes for IoT regulation will continue as new data governance
frameworks emerge
9. Enterprise companies will see security breaches as a cost of doing
business—while stepping up their defenses
10. Medical devices will emerge as a vulnerable hacking target
11. LPWAN will pick up in industrial markets
12. Agile development picks up in hardware and manufacturing, but
the Holy Grail will be services
Source: Internet of Things Institute by Brian Buntz 12/8/17
http://www.ioti.com/analytics/iot-council-co-chair-provides-2018-iot-predictions

Source: Gartner (July 2017)
Driving Analytics
from Descriptive
to Predictive
to Prescriptive
Years to
Mainstream Adoption

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