IEEE Computer Society Phoenix Chapter - Internet of Things Innovations & Megatrends Update 12/11/19

Internet of Things (IoT)
Innovations & Megatrends Update
Wednesday, December 11, 2019
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
© 2019 - International Research Center
Phoenix Chapter
http://ewh.ieee.org/r6/phoenix/compsociety/

Phoenix Chapter
http://ewh.ieee.org/r6/phoenix/compsociety/
IoT Overview and Ecosystems
IoT Computing Platforms
IoT Sensors and Device Integration
IoT Gateways, Programming, and Platforms
IoT Wireless Protocols & Communications
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
• Autonomous Vehicles & Transportation
IoT Security, Privacy, and Blockchain
IoT Standards and Organizations
IoT Big Data, Applications, and Analytics
IoT Business Models and Outlook
Internet of Things (IoT)
Innovations & Megatrends Update
Presentation Available at
http://www.slideshare.net/markgirc

Source: Teradata Corporation
Internet of Things Basics

Capabilities of an IoT Component
Source: U.S. NIST 2018

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

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

IoT Deployment Trends
Source: Cisco VNI 2018

Source: IDC & Peplink 2015
IoT Vision

The Exponential Curve of Technological Innovations
Leading Up to the Singularity

http://www.intel.com/content/www/us/en/
embedded/embedded-design-center.html
And Now
CORE i9

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.fierceelectronics.com/electronics/nvidia-
launches-new-ai-embedded-module-runs-table-mlperf

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

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

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

March 26, 2019
Consuming just 0.6 milliwatts during
transmission, it would broadcast for 11 years
using a typical 5.8-millimeter coin battery.
Such a millimeter-scale BLE radio would allow
these ant-size sensors to communicate with
ordinary equipment, even a smartphone.
https://spectrum.ieee.org/tech-
talk/semiconductors/design/teenytiny-bluetooth-
transmitter-runs-on-less-than-1-milliwatt
Dr. David Wentzloff
University of Michigan
https://wics.engin.umich.edu/
https://wentzloff.engin.umich.edu/
.5 sq. mm

In 2015, ASUS launched 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
(Plus Windows
& Streaming Media
Mini-Devices)

IoT Sensors and Device Integration

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.

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

A new antenna miniaturization mechanism, acoustically actuated nanomechanical magnetoelectric (ME)
antennas, could successfully miniaturize the magnitude of 1-2 orders using magnetic current for
radiation. The ME Antennas open up a variety of opportunities for bio-medical applications, wearable
antennas, internet of things, etc.
Source: https://contest.techbriefs.com/2018/entries/electronics-sensors-iot/9243-0702-222339-future-
antenna-miniaturization-mechanism-magnetoelectric-antennas

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

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/)

Atmotube Pro Air Quality and Weather Tracker
Contribute to
the Global
Air Quality Map
Our new most advanced air
pollution tracker. Detects VOCs,
PM1, PM2.5, and PM10 pollutants,
like dust, pollen, soot and mold
spores, measures atmospheric
pressure, altitude, temperature,
and humidity
https://www.indiegogo.com/pr
ojects/atmotube-plus-and-
atmotube-pro/coming_soon

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

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 Platform Vendors Leaderboard
Source: Navigant Research 2017

IoT Wireless Protocols
and Communications

U.S. Wireless Spectrum Overview
• The FCC regulates the use of radio frequencies within the U.S., assigning usage rights and conditions to
various bands across geographic sub-areas. ITU & WRC regulate internationally. Radio frequency physics
favor lower frequencies for greater signal carrying distance as well as structure & foliage penetration.
• Most non-governmental frequencies are licensed, often via auctions to commercial entities and reserved
exclusively for their use. Cellular (& unlicensed Wi-Fi) dominate mobile connectivity. Microwave &
millimeter wave are commonly used for broadcast, backhaul & PtP. FCC considering additional licensed
bands for commercial/public purposes by reallocating spectrum and at times relocating existing uses.
• A limited amount of unlicensed spectrum is currently available, however more is being considered or
processed for release. 902-928 MHz has been used for consumer and commercial devices since 1993. The
explosion of Wi-Fi is the result of developments in 2.4 & 5 GHz unlicensed bands. Mobile uses and the
emergence of IoT is driving demand for more unlicensed bandwidth & bringing new delivery protocols.
CBRS at 3550-3700 MHz is of special interest as a new shared unlicensed option. The FCC is considering
enabling flexible use of the 3.7-4.2 GHz Band. White spaces wireless will share unlicensed, reallocated
500-700 MHz TV bands reaching to 10 km NLOS now & up to 100 km in the future, outstanding for WRAN.
10 KHz 1 MHz 100 MHz 10 GHz 1THzDC 100 Hz

Cellular 2G, 3G, 4G & 5G Spectrum
United States Carrier Frequency Use
https://en.wikipedia.org/wiki/Cellular_frequencies_in_the_US
Qualcomm

3GPP’s 5G Vision
Source:
Openet
Marketing
2018

Source: Sierra Wireless 2019
5G Addresses Current and Future Use Cases
in Consumer and IoT Markets

Source: Cabling Installation & Maintenance 7/18
Macro and Small Cell Deployment for Cellular Densification

Cellular 2G, 3G, 4G & 5G Protocols & Apps Evolution
Evolution of Mobile Standards
Cisco
5G Services Bandwidth & Latency Requirements
Qualcomm
5G Diverse Services & Devices
GMSA/Heavy Reading
5G Access Network Requirements

IEEE 802.11 Wi-Fi Wireless Overview
HaLow
White-Fi
WiGig
Wi-Fi
Wi-Fi
IEEE 802.11 Variants,
Frequencies &
Ranges
Current Wi-Fi LAN/WAN Characteristics
https://wireless-home-network-made-
easy.com/how-does-wifi-work.html
≤10km≤1km≤250m≤100m
/ax

IEEE 802.11ac Wi-Fi Wireless WAN Example
Ubiquiti Networks airMAX Application
https://airmax.ubnt.com
/
Source: Ubiquiti Networks

Extreme High-Throughput (EHT) Wi-Fi in 6 GHz Band
EHT aims to use up to 320-MHz channels in the 6 GHz band. Developers hope
that the 6 GHz band is cleared by 2020 for unlicensed use that would include both
Wi-Fi and cellular. Wi-Fi proponents aim to retrofit 802.11ax for 6 GHz by that time
and have an enhanced 6-GHz implementation available with EHT by 2023.
Cognitive radio capabilities with agile multiband frequency use are increasingly
utilized & continually advancing in devices & access points to optimize spread
spectrum use for geolocation, speed, latency, capacity, distance & interference.
https://www.eetimes.com/document.asp?doc_id=1333499

5G LTE Advanced
& New Radio (NR)

5G Bandwidth & Latency Drivers by Use Case
Source: Openet
Marketing 2018

V2X - IEEE 802.11p
V2X uses unlicensed 5.9 GHz ITS
frequencies for short-to-medium range
vehicle safety & operations, C-V2X over
cellular expands range & capabilities
Next Generation
Dedicated Short
Range
Communications
(DSRC) for
Intelligent
Transportation
Systems (ITS)
vehicle safety &
operations

https://www.techbriefs.com/component/
content/article/tb/stories/insider/33974
March 8, 2019

IEEE 802.11 Wireless Evolution & Outlook
IEEE 802.11 Variant Tech & Spectrum Apps & Notes
IEEE 802.11abg Wi-Fi Legacy protocols on unlicensed 2.4
& 5 GHz bands to 600 Mbps to 100+
m outdoors
Baseline Wi-Fi capabilities for APs & CPE,
Overall Wi-Fi performance may be limited
by legacy devices & interference
IEEE 802.11n Wi-Fi 4 Adds MIMO streams to abg for
focusing transmissions to 250 m
Great advance in Wi-Fi performance for
multi-antenna APs & CPE
IEEE 802.11ac
Wi-Fi 5
Current highest performance
protocol on unlicensed 2.4 & 5 GHz
bands up to 3.5 Gbps
Downlink MU-MIMO, Mature, widely
available advanced Wi-Fi performance &
capabilities in base stations, APs & CPE
IEEE 802.11ax
Wi-Fi 6
Pending higher performance
protocol on unlicensed 2.4 & 5 GHz
bands up to 10.5 Gbps
Wi-Fi 6 spec pending with commercial
development & deployment to follow, Full
MU-MIMO, OFDMA, WPA3 security
Next Gen Wi-Fi 6 GHZ band unlicensed & cellular
reallocation possible
IEEE 802.11k/v/r agile multiband pending,
Extreme High-Throughput (EHT) pending
IEEE 802.11p V2X Unlicensed 5.9 GHz ITS for short-to-
medium range, Next gen DSRC
Vehicle-to-Vehicle (V2V) & Vehicle-to-
Everything (V2X) for vehicle safety & ops
IEEE 802.11af
White Spaces
White-Fi
Uses select unlicensed TV bands
from approx. 470-700 MHz to 600
Mbps up to 10 km (long distance)
NLOS, Nominal cost for geo
database use per device
White-Fi, White Spaces Wireless or Super
Wi-Fi, Managed by cognitive radio tech &
geo database dynamically assigning
channels for use, IEEE 802.22 emerging for
WRAN up to 100 km
IEEE 802.11ah
HaLow
Uses unlicensed 902-928 MHz UHF
frequencies up to 100 Kbps to 1 km,
up to 8K low power devices per AP
WWAN supporting bulk M2M & Io/IIoTT
communications for long-range, low-data
rate applications
IEEE 802.11ad
WiGig
Uses unlicensed 60 GHz ISM band
for up to 7 Gbps up to 5 m range
(within a room)
Optimized for short-range media & high-
bandwidth apps, IEEE 802.11ay will
eventually extend to 20+ Gbps
Source:
International Research Center

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

https://www.sierrawireless.com/resources/infographics/lpwa/

Citizens Broadband Radio Service (CBRS)
Wireless Spectrum: Frequencies & Tiers
(SAS = Spectrum Allocation Server)
Mobile Experts
https://www.leverege.com/blog
post/what-is-cbrs-lte-3-5-ghz
3.5 GHz Band

Citizens Broadband Radio Service (CBRS)
Wireless Opportunities
CBRS Alliance’s OnGo
(https://www.cbrsalliance.org/)
improves wireless coverage and
capacity on a massive scale, making
it ideal for in-building, public space
and IoT/IIoT wireless needs
MulteFire Alliance
(https://www.multefire.org/)
combines the high performance of
LTE with the simple deployment of
Wi-Fi
Neutral Host Network Provider with OnGo Neutral Host Network Provider with OnGo
New Entrant MVNO Capacity
Improvement Business Model
Graphics: Mobile Experts
https://www.mobile-experts.net/

White Spaces Wireless Spectrum & Opportunities
thinkd2c
https://www.carlsonwireless.com/

https://www.carlsonwireless.com/
White Spaces Markets & Verticals

Wireless IoT Connectivity Highly Fragmented Market
Source: Qorvo 2019

IoT Connection Technologies Operating Range
Source: Keysight Technologies
- CBRS
- 802.11ax
Added
- 802.22
(White Spaces)
Added- V2V & V2X

Rohde & SchwartzHarbor Research/CBRS Alliance
Postscapes
Multiple Pathways for IoT Connectivity
IoT Connection Technology Summary
IoT Technology Data Rate and Range Needs
Rohde & Schwartz

U.S. Wireless Technology & Spectrum Summary
Wireless Protocol Tech & Spectrum Apps & Notes
Cellular 2G,
3G, 4G & 5G
FCC licenses 850 & 1900 MHz bands at
auctions for specific geographic
subareas, 2G delivers data at up to 1
Mbps & 3G to 15 Mbps, 4G also utilizes
600, 700, 1700, 2100 & 5200 MHz bands
for up to 50 Mbps, 5G uses same bands
at up to 3 Gbps, 24/28/37/39/47 GHz
spectrum auctions, 5G NR & 6G follow
All U.S. bands are licensed thru FCC
auctions, WW LTE convergence, 5G
standards maturing & deployment now
thru 2020+ requiring densification in
urban areas adding small cells/DAS for
capacity, AT&T FirstNet national public
safety overlay deploying, Also 5G fixed
wireless, Lots of tower & fiber builds
IEEE 802.11 Wi-Fi
Variants
Legacy IEEE 802.11a/b/g/n to 600 Mbps
& IEEE 802.11ac to 3.5 Gbps on
unlicensed 2.4 & 5 GHz bands shared
among many users & applications,
Interference risks
Broad mature deployment for LANs &
WANs, Low-cost hardware, Pending
IEEE 802.11ax will provide up to 10.5
Gbps with more efficient spectrum
utilization & increased throughput
IEEE 802.16 WiMAX 2.3/2.5/3.5 GHz use w/o firm allocations,
802.16e adds mobility & MIMO
Middle & last mile broadband to 50 km,
Limited market adoption to date
Citizens Broadband
Radio Service
(CBRS)
Recent allocation of 3550-3700 MHz for
shared unlicensed use of 80 MHz band
& licensed use (with priority) of up to 7
10 MHz channels, Shared with higher
priority users (U.S. Military Radar, Fixed
Satellite Systems) thru Spectrum
Allocation Server (SAS), Further reach
than 5 GHz Wi-Fi
LTE style protocols for voice & data,
Shared spectrum use with situation
awareness & dynamic allocation, CBRS
Alliance’s OnGo & MulteFire Alliance
protocols offer Neutral Host Network
Provider & MVNO models, Specs stable
& equipment reaching the market,
Expansion into 3.7-4.2 GHz possible
White Spaces
Wireless
IEEE 802.11af (White-Fi) uses select
unlicensed bands from approx. 470-700
MHz to 600 Mbps to 10 km NLOS for
WRAN, up to 100 km in the future with
IEEE 802.22
White-Fi uses a TV White Space
Database (geo database) to manage
spectrum use by unlicensed white
space devices by geographic area,
Microsoft supporting & doing trials
Source: International
Research Center

U.S. Wireless Technology & Spectrum Summary (Continued)
Wireless Protocol Tech & Spectrum Apps & Notes
Short Haul Special
Purpose Networks
• Bluetooth - IEEE 802.15.1 at unlicensed 2.4
GHz to 1 Mbps to 30 m, Version 5.0
provides 2 Mbps at greater range, Low
Energy (LE), IoT/IIoT & mesh capabilities
• Zigbee - IEEE 802.15.4 at unlicensed 915
MHz (NA) & 2.4 GHz at up to 250 Kbps to
100 m, Low power, Suited for IoT/IIoT
• Vehicle-to-Everything (V2X) at unlicensed
5.9 GHz ITS via IEEE 802.11p DSRC
• LiFi short-range data networking with light
• RFID/NFC - PAN for Logistics, POS & IoT
Bluetooth expanding beyond
connecting peripherals to
devices & computers to PAN &
LAN applications, Bluetooth &
Zigbee will both support health
monitoring, smart homes/
buildings/cities, mobile lifestyle,
transportation, energy, etc. with
M2M/IoT/IIoT sensor data
aggregation, V2X integrates
vehicles for safety & ops
Low-Power Wide-
Area Networks
(LPWANs)
• IEEE 802.11ah - HaLow uses unlicensed
902-928 MHz frequencies, Supports bulk
M2M & IoT/IIoT communications at 100
Kbps to 1 km for up to 8,192 low-power
devices per AP
• LoRaWAN - Unlicensed 902-928 MHz in NA
at 22 Kbps at very long range (city wide
coverage) with deep indoor coverage for
IoT/IIoT
• Sigfox - Unlicensed 915 MHz (in NA) to 100
bps up to 40 km for broad, low-speed reach
• NB-IoT (or LTE-M2) - Narrowband (NB)
cellular for LPWAN to 250 Kbps, Mobile
operators need new equipment to utilize
• LTE Cat M1 - Cellular for LPWAN to 1 Mbps,
more easily integrates to existing cellular
deployments
Long-range IoT/IIoT data
collection will be a high device
volume, high-growth
opportunity at low data rates
requiring low-cost
subscriptions, All of these
LPWAN variants support health
monitoring, smart homes/
buildings/cities, mobile lifestyle,
transportation, energy, etc., A
number of LPWAN approaches
will play out with IEEE 802.11ah
(HaLow) & LoRaWAN likely to
dominate augmented by cellular
data services & use of other
LPWANs for select situations,
Weightless specs
Source: International
Research Center

Deposit Photos Baseline Infographic

https://www.pcmag.com/news/365034/traveling-for-
the-holidays-protect-your-home-with-these-gad
11/18

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

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

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://www.tivo.com/products/bolt-detail
TiVo Mini VOX for TruMultiRoom
CableCARD
TiVo BOLT VOX
4 Tuners/.5 TB $199.99
4 Tuners/1 TB $299.99
6 Tuners/3 TB $499.99
(w. 2 CableCARDs)
TiVo Service Plan
$14.99/Month
$149.99/Year
$549.99 All In
TiVo Bolt OTA
Antenna ATSC Only
4 Tuners/1 TB $249.99
$6.99/Month
$69.99/Year
$249.99 All In
$179.99
$2.99/Month Each
7.3” D x 11.4” W x 1.8” H
/Antenna
6.1" D x 6.1" W x 1.3" H

All the Realities: Augment, Mixed and Virtual
Source: Cisco 2018

Source: Qualcomm 2018
A glimpse into the future — sleek and stylish XR glasses.

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/

Source: IEEE Spectrum 11/14
Perspiration Biosensor Patches

https://nano-magazine.com/news/2019/12/11/blueprint-
built-for-wireless-nanosensors-that-track-our-health2019

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

AliveCor KardiaCare Mobile EKG
Take a medical-grade EKG in just 30 seconds. Simply open the Kardia app on your
smart phone, put your fingers on the electrodes and see results instantly.
SmartRhythm monitoring works with your Apple Watch to intelligently evaluate
the relationship between heart rate ranges, activity levels and other factors. If
heart rate appears inconsistent with the activity level from your watch, a
notification will be sent to record an EKG. https://www.alivecor.com/
KardiaMobile KardiaBand

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

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

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

A DIY $100 Ultrasound No Bigger Than a Band-Aid
https://www.ecnmag.com/videos/2018/09/
diy-100-ultrasound-no-bigger-band-aid

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

Engaging this
population with low
cost, lite touch
solutions can help
shape positive
outcomes, avoid
more expensive
healthcare
utilization, and yield
a higher return on
an enterprise digital
health investment.
http://life365inc.com/
Digital Health as a Service (DHaaS) Platform

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

McKinsey Industry 4.0 Model Factories

Industrial IoT Platforms Magic Quadrant
Source: Gartner 2019

Wireless Connection Technologies for Industrial IoT
Source: Texas Instruments

https://iot-analytics.com/the-leading-industry-4-0-companies-2019/

Enterprise Internet of Things (EIoT)
Source: Cisco

Smart Building IoT Architecture
Source: Arm Limited 2018

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?

http://www2.acuitybrands.com/H
olophane_Outdoor_Video_LP4

A Smart City with the Edge of the Internet
Source: IEEE Computer 8/19

Source: Global Market Insights

Arizona as an Innovation Hub
Energy Blockchain Peer-to-Peer & Transactive Marketplaces
Arizona Technology Council’s Policy Recommendations to the ACC
For Blockchain Use in Record Management & Energy Transactions
• Encourage the Arizona Corporation Commission (ACC) to work towards utilizing
blockchain for corporate records and filings initiating trials and pilots to develop
capabilities, gauge future direction, and, when appropriate, inaugurate full-scale
initiatives.
• Examine the potential to issue and trade securities on a blockchain platform.
• The ACC has opened a docket to examine the use of blockchain technology in Arizona’s
energy industry to help manage the distributed power generation and storage,
transactive energy, renewable energy credits, tokenization, IoT, cybersecurity, and other
applications for distributed ledger technologies on the grid.

Source: GSMA
Mobile Operators Can Enable Smart City Services

Smart City Multidimensional Factors
Source: Beecham Research

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.azidp.com/the-smart-region/
Center for Smart
Cities and Regions
(CSCR)
https://ifis.asu.edu/c
ontent/center-smart-
cities-and-regions
Arizona Smart City/Smart Region Initiatives
Pima Association
of Governments
(PAG)
http://www.pagregion
.com/Default.aspx?ta
bid=1356
Intel Smart City
IoT Solutions
https://www.intel.com/
content/www/us/en/int
ernet-of-things/smart-
cities.html
Internet of Things
(IoT) Committee
https://www.aztechco
uncil.org/get-
involved/committees/
https://smartchallenges
.asu.edu/
http://www.big
datasw.org/
https://www.
azmag.gov/
https://www.azco
mmerce.com/iam/
https://www.azidp.com/
Smart Region
Consortium

Source: Autonomous Vehicle Technology 6/19 Sidewalk Toronto Renderings
The Transformation of the Urban Landscape

Source: U.S. DOT 2018 (https://www.transportation.gov/av/3)
(U.S.)

Source: General Motors 2017
Autonomous Vehicles (AV)

Autonomous Vehicle Potential Benefits and Costs
Source: Victoria Transport Policy Institute 2015

National Highway Traffic Safety Administration (NHTSA)
Automated Vehicles for Safety
https://www.nhtsa.gov/technology-
innovation/automated-vehicles-safety

Autonomous Vehicles (AV)
Source: General Motors 2017
Minimum Viable Product (MVP)

Imaging Technologies for Automotive

Sensors for Vehicle
Computer Vision Systems
Source: Michigan Tech
Research Institute (MTRI)
http://mtri.org/automotivebenchmark.html
(Visible + Infrared)

https://www.infopulse.co
m/blog/how-to-ensure-
automotive-
cybersecurity-in-the-next-
gen-vehicles-part-1/

Intelligent Transportation with IoT
Source: Intel

Arizona’s Autonomous Vehicles Development & Deployment
• Executive Order allowed early testing of autonomous vehicles (2015).
• Executive Order allowed full deployment of autonomous vehicles creating an
environment supporting AV innovation while maintaining a focus on public
safety (2018). First AV fatality occurs in Tempe.
• Waymo currently deploying Tier 4 rideshare AVs with others to follow.
• Chandler changed zoning codes to be more favorable to ride sharing and
autonomous vehicles. Other Arizona cities following suit.
• Excellent weather combined with a lack of natural disasters.
• Availability of legacy & new automotive test tracks.
• Intel semiconductor fabrication facilities accompanied by their Autonomous
Vehicles Division and various R&D labs in Chandler including IoT.
• Further legislation enables autonomous package delivery from street vehicles
and sidewalk-travelling pedestrian-privileged autonomous delivery bots.
• Advanced vehicle manufacturing in Arizona: shuttles by Local Motors, EVs by
Lucid Motors & Ronn Motor Group, semi-trucks by Nikola & TuSimple, electric
commuter planes & UAS by Eviation Aircraft + many underlying technologies.
• Arizona Commerce Authority established the Institute of Automated Mobility
(IAM, https://azcommerce.com/iam/) to create the future of science, safety &
policies regarding autonomous mobility in Arizona & beyond.
• For more, see Mark Goldstein/IRC’s latest “The Autonomous Revolution of
Vehicles & Transportation” deck at https://www.slideshare.net/markgirc/.

https://azcommerce.com/iam/
https://cspo.org/research/

Local Motors Olli (Chandler)
TuSimple (Tucson)Nikola Corporation (Coolidge)
Lucid Motors (Casa Grande)
https://www.tusimple.com/https://nikolamotor.com/
https://lucidmotors.com/ https://localmotors.com/
Advanced Vehicle Manufacturing in Arizona

Advanced Vehicle Manufacturing in Arizona
https://www.intel.com/content/www
/us/en/automotive/autonomous-
vehicles.html
https://www.mobileye.com/
Imagry Inc. (Israel
Based, Tempe U.S. HQ)
Ronn Motor Group Inc. (Scottsdale)
Hydrogen-Electric Vehicles
https://www.ronnmotorgroup.com/
Intel Autonomous Vehicles
Division (Chandler)
https://www.eviation.co/alice/
Eviation Aircraft (Israel Based, Prescott Mfg.)
Alice Commuter
carries 9 passengers &
2 crew up to 650 miles.
Orca UAS
https://aerospace.honeywell.com/en/pr
oducts/safety-and-connectivity/intuvue-
rdr-84k-band-radar-system
Honeywell Aerospace Radar
https://imagry.co/
3m long,
4.5m wingspan
500 mile range

https://www.azcentral.com/videos/entertainment/2017/05/04/-postmates-start-using-robots-delivery/101265926/
https://www.starship.xyz/ https://get.postmatescode.com/ https://www.doordash.com/

A Silicon Valley startup claims to be the world’s first real-world application of autonomous driving. If the
claim is true, it beat Waymo, Tesla, Apple, the global car industry and all the other Silicon Valley startups.
The startup is called Udelv. This week it delivered groceries to two customers of a local store called
Draeger’s Market. The delivery van drove autonomously from the store to the customers’ houses,
although (as required by California law) a “safety driver” sat in the driver’s seat during the delivery.
I talked to Udelv CEO Daniel Laury, and he told me the delivery was “a huge milestone.” Draeger’s Market
deliveries go online to the public “next week,” according to Laury. The “milestone” Laury refers to is
commercialization. He’s saying that Udelv is the first company to actually use autonomous vehicles for a
service that’s paid for by a customer (in this case, the grocery store).
Udelv’s model shows how autonomous deliveries could work on a massive scale.
Its custom, proprietary electric vehicles are basically robotic lockers. Each van has 18 lockers that can
carry a collective weight of 700 pounds. When the van gets within a few minutes of a customer’s house,
that customer receives an alert via the company’s free app (currently available on iOS, with the Android
version coming soon, according to Laury). https://itunes.apple.com/us/app/udelv/id1341233287
Once the van arrives, customers use the app to unlock the compartment that holds their groceries. The
Udelv fleet is monitored by a control room of humans, who can take over in “unique situations” and drive
the vans by remote control if necessary. Udelv monetizes with a simple model. It charges companies to
make deliveries. Its goal is to cut the cost of deliveries in half, according to Laury. Udelv also plans to
expand beyond Silicon Valley and seek out autonomous-vehicle-friendly states to set up shop in.
https://www.computerworld.com/article/3252162/robotics/why-
we-re-getting-self-driving-delivery-before-self-driving-ubers.html
https://www.udelv.com/

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

https://www.citytech.org/city-tech-collaborative-launches-advanced-mobility-initiative-roadmap

Impacts of Driving Automation, Connectivity,
and MaaS in a Model City
Source: Navigant Research 2017

http://csi.asu.edu/projects/drawn-futures/drawn-futures-arizona-2045/
ASU Center for Science and the Imagination
Drawn Futures: Arizona 2045

IoT Security, Privacy, and Blockchain

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

IoT Security Threat Map
Source: Beecham Research

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

Public Sector IoT Security Concerns & Solutions
Source: Cisco 2018

Internet of Things Security Attributes
Source: Hewlett Packard Enterprise

Securing an IoT Product or System
Source: Zentri

https://www.ctia.org/about-ctia/programs/certification-resources
https://api.ctia.org/wp-content/uploads/2018/08/CTIA-IoT-Cybersecurity-Certification-Test-Plan-V1_0.pdf
IoT Cybersecurity

House Passes SMART IoT Act
https://www.benton.org/headlines/
house-passes-smart-iot-act
11/29/18

http://www.parksassociates.com/
blog/article/iot-vulnerability-can-
be-reduced-with-blockchain-
implementation
IoT Vulnerability
Can Be Reduced
with Blockchain
Implementation

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)

https://www.nccoe.nist.gov/projects/use-cases/energy-sector/iiot

Source: Keysight Technologies 2019

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

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

Source: Schneider Electric 2019
Edge Computing Defined

Arizona’s Data Center Industry, Drivers & Incentives
• Arizona tax advantages with exemptions granted to promote the
retention and expansion of enterprise and colocation data centers.
• Good, robust power grid with affordable power & renewable options.
• Excellent weather combined with a lack of natural disasters.
• Good workforce availability. Diverse & robust broadband access.
• Arizona is the fifth-largest market in the U.S. for existing data center
inventory moving to the third-largest within the next few years (CBRE).
• The Phoenix region remains the second most active data center
market in the U.S. for new construction with 41.6 megawatts of net
absorption in the second half of 2018 (CBRE).
• An unprecedented 1,200+ acres of land has been bought by data
center developers in metro Phoenix in the last 24 months, expected to
deliver well over 16 million square feet of new data center capacity.
640 acres in Pinal County under data center development as well.
• Advances in 5G, IoT, autonomous vehicles, smart cities, artificial
intelligence, distributed ledger technology, augmented reality & rich
mobile content delivery will drive edge computing deployment and
massive growth in data center computational and storage capabilities.

Internet of Things Data Value Chain
Source: Navigant Research

Artificial Intelligence Trends 2019
Source: CB Insights 2019

Artificial Intelligence Hype Cycle
Source: Gartner 2019

Adoption Across the Analytics Spectrum

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

IoT Functional Areas That Provide Quickest ROI
Source: Tata Consultancy Services 2018

Source: Tata Consultancy Services 2018

IoT Value Chain Distribution of Value

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

Barriers to Adoption of IoT/Analytics Solutions
In a 2018 survey with over 600 respondents, security is the most significant barrier that limits the
adoption of IoT/analytics solutions.
Source: Bain & Co. in Embedded Systems Engineering 9/18

Internet of Things Playbook
Source: Navigant 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

Key Trends Driving IoT in 2018 and Beyond
Source: IHS Markit 2018

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

Arm IoT Predictions for 2019
Source: Arm Limited in EE Times Article 12/10/18
(https://www.eetimes.com/document.asp?doc_id=1334059)

Gartner’s Top Strategic IoT Technology Trends
http://www.eweek.com/it-management/gartner-lists-top-10-strategic-iot-technologies-trends-through-2023

IEEE Computer Society Phoenix Chapter - Internet of Things Innovations & Megatrends Update 12/11/19

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