ORGANIZING SECRETARY
DR.R.GUNAVATHI,
HEAD & ASSOCIATE PROFESSOR,
PG & RESEARCH DEPARTMENT OF COMPUTER APPLICATIONS

Mr.Janarthanan.S
Assistant Professor,
School of Computing Science and Engineering
Galgotias University, Uttar Pradesh
janarthanan@galgotiasuniversity.edu.in

 About IoT
 Trends & Technologies
 IoT Applications Ranking
 Machine Learning
 Tools and courses for further learning
 IoT development in Future
 Conclusion
3

 Formal Definition:
The Internet of things (IoT) is a system of
interrelated computing devices, mechanical and
digital machines provided with unique identifiers
(UIDs) and the ability to transfer data over a network
without requiring human-to-human or human-to-
computer interaction.
4

 Simple words?
"A network of Internet connected objects able to
collect and exchange data.“ It is commonly
abbreviated as IoT. ... In a simple way to put it, You
have "things" that sense and collect data and send it
to the internet.
 Who invented IoT?
Kevin Ashton is sometimes called the “Inventor of
IoT” since the first used the term in 1999 to describe
a system where the Internet is connected to the
physical world via ubiquitous sensors. He is a serial
entrepreneur and co-founded the Auto-ID Center at
MIT
5

 How it works?
An IoT system consists of sensors/devices
which “talk” to the cloud through some kind
of connectivity. Once the data gets to the
cloud, software processes it and then might
decide to perform an action, such as sending
an alert or automatically adjusting the
sensors/devices without the need for the
user.
6

 What is IoT and its applications?
IoT is essentially a platform where
embedded devices are connected to the
internet, so they can collect and exchange
data with each other. It enables devices to
interact, collaborate and, learn from each
other's experiences just like humans do
7

 Why is IoT important?
Since IoT generates and analyzes vast
amounts of data, it is a significant driver of
big data analytics projects. In particular, it
can deliver large amounts of data in real-
time. ... Through various IoT devices, it is
possible to monitor the performance of all
employees as well as improve operations at
all locations
8

 What is IoT example?
Objects that can fall into the scope of
Internet of Things include connected security
systems, thermostats, cars, electronic
appliances, lights in household and
commercial environments, alarm clocks,
speaker systems, vending machines and
more.
9

 What is the best example of an IoT device?
Consumer connected devices include smart
TVs, smart speakers, toys, wearable's and
smart appliances. Smart meters, commercial
security systems and smart city technologies
-- such as those used to monitor traffic and
weather conditions -- are examples of
industrial and enterprise IoT devices.
10

 Where is IoT used?
IoT devices can be used to monitor and
control the mechanical, electrical and
electronic systems used in various types of
buildings (e.g., public and private, industrial,
institutions, or residential) in home
automation and building automation systems.
11

 What is IoT and its benefits?
The IoT allows you to automate and
control the tasks that are done on a daily
basis, avoiding human intervention. Machine-
to-machine communication helps to maintain
transparency in the processes. It also leads
to uniformity in the tasks. It can also
maintain the quality of service.
12

 How IoT affect our life?
Along with advanced data analytics, IoT-
enabled devices and sensors are helping us
reduce air pollution in some of our world's
biggest cities, improve agriculture
and our food supply, and even detect and
contain deadly viruses. More than half of the
world's population now lives in cities—up
from just 34% in the 1960s.
13

 What is IoT in our life?
The Internet of Things (IoT) refers to devices
such as cell phones, vehicles, electronic
appliances, and smart sensors that are
connected to a wireless network.
... IoT devices will have a significant impact
on many aspects of our lives including how
we live, drive, and farm animals and crops.
14

 Is IoT the future?
IOT means Internet Of Things. IOT comprises
of sensors, smart meters, smart vehicles
connected to Internet. ... By 2022, it's
estimated that there will be 30
billion IoT devices, and a global market of
$7.1 trillion. Without a doubt, IoT is poised
to play a central and defining role in
the future of the world.
15

 6 Leading Types of IoT Wireless Tech and
Their Best Use Cases
16Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

 6 Leading Types of IoT Wireless Tech and Their Best
Use Cases
 1. LPWANs
 Low Power Wide Area Networks (LPWANs) are the new
phenomenon in IoT. By providing long-range
communication on small, inexpensive batteries
 This family of technologies is purpose-built to support
large-scale IoT networks sprawling over vast
industrial and commercial
 LPWANs can literally connect all types of IoT sensors –
facilitating numerous applications from remote
monitoring, smart metering and worker
safety to building controls and facilitymanagement.
17Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

 2. Cellular (3G/4G/5G)
 Well-established in the consumer mobile market, cellular
networks offer reliable broadband communication supporting
various voice calls and video streaming applications.
 On the downside, they impose very high operational costs
and power requirements.
 The majority of IoT applications powered by battery-operated
sensor networks, they fit well in specific use cases such
as connected cars or fleet management in transportation
and logistics.
 Cellular next-gen 5G with high-speed mobility support and
ultra-low latency is positioned to be the future of
autonomous vehicles and augmented reality. 5G is also
expected to enable real-time video surveillance for public
safety, real-time mobile delivery of medical data sets
for connected health, and several time-sensitive industrial
automation applications in the future
18Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

 3. Zigbee and Other Mesh Protocols
 Zigbee is a short-range, low-power, wireless standard (IEEE
802.15.4), commonly deployed in mesh topology to extend
coverage by relaying sensor data over multiple sensor nodes.
 Compared to LPWAN, Zigbee provides higher data rates, but
at the same time, much less power-efficiency due to mesh
configuration.
 Because of their physical short-range (< 100m), Zigbee and
similar mesh protocols (e.g. Z-Wave, Thread etc.) are best-
suited for medium-range IoT applications with an even
distribution of nodes in close proximity
 Zigbee is a perfect complement to Wi-Fi for various home
automation use cases like smart lighting, HVAC controls,
security and energy management, etc. – leveraging home
sensor networks.
19Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

 4. Bluetooth and BLE
 Bluetooth is a short-range communication technology
well-positioned in the consumer marketplace.
 Bluetooth Classic was originally intended for point-to-
point or point-to-multipoint (up to seven slave nodes)
data exchange among consumer devices
 Optimized for power consumption, Bluetooth Low-
Energy was later introduced to address small-
scale Consumer IoT applications.
 BLE is widely integrated into fitness and medical
wearables (e.g. smartwatches, glucose meters, pulse
oximeters, etc.) as well as Smart Home devices (e.g.
door locks)
20Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

 5. Wi-Fi
 its major limitations in coverage, scalability and
power consumption make the technology much less
prevalent.
 Wi-Fi is often not a feasible solution for large
networks of battery-operated IoT sensors, especially
in industrial IoT and smart building scenarios.
 Instead, it more pertains to connecting devices that
can be conveniently connected to a power outlet
like smart home gadgets and appliances, digital
signage's or security cameras.
 Wi-Fi 6 – the newest Wi-Fi generation – brings in
greatly enhanced network bandwidth (i.e. <9.6 Gbps)
to improve data throughput per user in congested
environments.
21Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

 6. RFID
 Radio Frequency Identification (RFID) uses radio
waves to transmit small amounts of data from an
RFID tag to a reader within a very short distance
 Till now, the technology has facilitated a major
revolution in retail and logistics.
22Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/

23Source:https://behrtech.com/blog/6-leading-types-of-iot-wireless-tech-and-their-best-use-cases/
Use-Cases-for-Different-IoT-Wireless-Tech

24

25
 What is machine learning in IoT?
 Rapid developments in hardware, software, and
communication technologies have facilitated the
emergence of Internet-connected sensory devices
that provide observations and data measurements
from the physical world. ...
 The potential and challenges of machine
learning for IoT data analytics will also be discussed

26
 Is machine learning related to IoT?
 Machine learning has experienced a boost in
popularity among industrial companies thanks to the
hype surrounding the Internet of Things (IoT).
 Simply the promise of a cloud-based IoT platform is
not enough. Sensors connected to the IoT networks
and the data generated from the sensors needs to be
analysed

27
 Which is better IoT or machine learning?
 Machine learning and deep learning require massive
amounts of data to work, and this data is being
collected by the billions of sensors that are
continuing to come online in the Internet of
Things. IoT makes better AI.
 What is IoT and ML training?
 ML is becoming an essential player in a growing array
of process areas involving image recognition, natural
language processing, forecasting, prediction, and
process optimization.

28

29
 IBM Watson Studio
 Watson Studio lets you build and deploy an AI
solution, using the best of open source and IBM
software and giving your team a single environment
to work in.
 Hands on Labs ---->
 IBM® Watson Studio - Speed up ML/DL development
with Modeler Flows
 https://www.ibm.com/demos/collection/IBM-
Watson-Studio/

30
 Automating IoT Machine Learning: Bridging
Cloud and Device Benefits with AI Platform
 https://cloud.google.com/solutions/automating
-iot-machine-learning
 Machine Learning with IoT Devices on the
Edge
 https://docs.microsoft.com/en-
us/archive/msdn-magazine/2018/july/machine-
learning-machine-learning-with-iot-devices-on-
the-edge

31
 Machine Learning for IoT
 Ekkono connected things smart. Ekkono’s Edge
Machine Learning software is embedded onboard
connected devices to make them conscious, self-
learning, and predictive.
 https://ekkono.ai/
 GIT HUB Built for developers
 GitHub is a development platform inspired by the
way you work. From open source to business, you
can host and review code, manage projects, and
build software alongside 50 million developers.
 https://github.com/explore

32
 Amazon SageMaker
 Machine learning for every developer and data
scientist
 https://aws.amazon.com/machine-learning/accelerate-amazon-
sagemaker/?trk=ps_a134p000006BnGnAAK&trkCampaign=2020_HowMLisDone_campaign_landing_page&sc_channel=
ps&sc_campaign=SM_AD_Google_CL_RSA_SMML_PNB&sc_outcome=AIML_Digital_Marketing&sc_geo=mult&sc_countr
y=mult&sc_publisher=Google&s_kwcid=AL!4422!3!428016792162!b!!g!!ai%20and%20machine%20learning&sc_detail=
ai%20and%20machine%20learning&ef_id=EAIaIQobChMIkLu22OWX6gIVgn8rCh2qdAcaEAAYBCAAEgLwc_D_BwE:G:s&s_
kwcid=AL!4422!3!428016792162!b!!

33
 Introduction to internet of things
By Prof. Sudip Misra | IIT Kharagpur
https://swayam.gov.in/nd1_noc20_cs66/preview
 Introduction to Machine Learning
By Prof. Balaraman Ravindran | IIT Madras
https://swayam.gov.in/nd1_noc20_cs73/preview
 Practical Machine Learning with Tensorflow
By Prof. Ashish Tendulkar, Prof. Balaraman
Ravindran | Google, IIT Madras
https://swayam.gov.in/nd1_noc20_cs95/preview

34
 10 Predictions about the future of IoT.
 1.By 2025, it is estimated that there will be more than to
21 billion IoT devices
 2. Cybercriminals will continue to use IoT devices to
facilitate DDoS attacks
 3. More cities will become “smart”
 4. Artificial intelligence will continue to become a bigger
thing
Source: https://us.norton.com/internetsecurity-iot-5-predictions-for-the-future-of-iot.html

35
 5. Routers will continue to become more secure and
smarter
 6. 5G Networks will continue to fuel IoT growth
 7. Cars will get even smarter
 8. 5G’s arrival will also open the door to new privacy and
security concerns
 9. IoT-based DDoS attacks will take on more dangerous
forms
 10. Security and privacy concerns will drive legislation
and regulatory activity
Source: https://us.norton.com/internetsecurity-iot-5-predictions-for-the-future-of-iot.html

 Be Ready with IoT & Machine Learning for
future growth and development
 Train yourself with recent trends and
technologies related to that always
36

37