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 Chapterhttp://ewh.ieee.org/r6/phoenix/compsociety/

Internet of Things (IoT) Presentation OutlineIoT 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

IoT Overview and Ecosystems

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

Source: Teradata Corporation

Internet of Things Basics

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

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

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)

Source:

CompTIA

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

IoT Computing Platforms

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 BreakoutUDOO 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 Packhttp://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

IoT Sensors

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/SmartdustWikipedia on Wireless Sensor Network (WSN):http://en.wikipedia.org/wiki/Wireless_sensor_network

Smart Dust Motes forWireless SensorNetworks(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: Fujitsu

Source: IDTechEx 2016

Source: IDTechEx 2016

Source: Cymbet

Energy Harvesting Sweet Spot

http://www.electronicproducts.com/Power_Products/Power_Management/New_mineral_can_simultaneously_convert_movement_sunlight_and_heat_into_electricity.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 Network Connections

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

IEEE 5G

http://5g.ieee.org/

IoT Connection Technologies Operating Range

Source: Keysight Technologies

Consumer and Home Automation

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 ColorKlipsch 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/

Source: Beecham Research

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

Retail and Logistics

Source: Cisco

Beacon Enabled Local Retail Offer Service

Source: GSA

Swirl iBeacon Platform and Ecosystem

http://www.swirl.com/

Industrial Internet of Things (IIoT)

Source: Intel

Source: LNS Research

Source: LNS Research

Flattening of the Industrial Networking Architecture

Source: LNS Research

Wireless Connection Technologies for Industrial IoT

Source: Texas Instruments

Source: LNS Research

Smart Buildings

Creating an Intelligent Building Starts with Sensors and LED Lighting

Source: EEWeb Sensor Technology

Enterprise Internet of Things (EIoT)

Source: Cisco

Source: Memoori 2014

Intelligent Buildings Value Chain

Source: Frost & Sullivan

Smart Cities and Environments

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 AIhttp://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/

Transportation

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

Source: KPMG

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

Autonomous Vehicles (AV)

Source: General Motors 2017

Source: Parks Associates

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

Source: General Motors 2017

Autonomous Vehicles (AV)

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

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

Source: PubNub

Source: RCR Wireless 2017

Securing an IoT Product or System

Source: Zentri

Internet of Things Security Attributes

Source: Hewlett Packard Enterprise

Source: CENTRI Technology

Source: RCR Wireless 2017

IoT Security for Home Devices

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://openinterconnect.org/

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/

https://www.shodan.io/

IoT Big Data,

Applications, and Analytics

Source: HP

Growth in M2M Connections Drive New Data Analytics Needs

Source: AT&T

Why the Internet of Things Matters

Internet of Things Data Value Chain

Source: Navigant Research

Source: HP

Source: LNS Research

https://awsinsider.net/articles/2017/10/12/aws-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

Barriers to IoT Success

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)

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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

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