Data science, AI (Artificial Intelligence), and IoT (Internet of Things) are three interconnected fields that play significant roles in shaping the modern technological landscape. Here's a brief description of each:
Data Science:
Data science is an interdisciplinary field that deals with extracting insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain knowledge. Data scientists use techniques like data mining, machine learning, and statistical analysis to interpret complex data sets. The goal of data science is to derive actionable insights, make predictions, and solve complex problems across industries ranging from healthcare and finance to marketing and e-commerce.
Artificial Intelligence (AI):
AI is the branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. This includes tasks such as natural language processing, speech recognition, computer vision, decision-making, and problem-solving. AI techniques include machine learning, deep learning, neural networks, and symbolic reasoning. AI has applications across various sectors, including healthcare, finance, transportation, manufacturing, and entertainment. It powers virtual assistants, autonomous vehicles, recommendation systems, and many other innovative technologies.
Internet of Things (IoT):
IoT refers to the network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices can range from household appliances and wearable devices to industrial machinery and smart city infrastructure. IoT enables the seamless integration of physical and digital systems, leading to improved efficiency, automation, and decision-making. By collecting and analyzing real-time data from connected devices, IoT facilitates a wide range of applications, including smart homes, smart cities, precision agriculture, industrial automation, and healthcare monitoring.
Together, data science, AI, and IoT form the backbone of many innovative solutions that drive digital transformation across industries, revolutionizing how businesses operate, how people interact with technology, and how societies function as a whole.
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Chapter-4 Internet of Things.pptx, AI, Data Science
2. This chapter covers:
Overview of the Internet of Things (IoT)
Architecture of IoT
IoT tools and platforms
Applications of IOT
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3. Overview of IOT
The most important features of IoT include artificial intelligence, connectivity, sensors,
active engagement, and small device use.
AI IoT essentially makes virtually anything smart, meaning it enhances every
aspect of life with the power of data collection, artificial intelligence algorithms, and
networks.
Connectivity New enabling technologies for networking and specifically IoT
networking, mean networks are no longer exclusively tied to major providers.
Sensors IoT loses its distinction without sensors. Sensors are devices that can
measure a physical quantity(like temperature, humidity, etc.) and convert it into signal,
which can be read and interpreted by the microcontroller unit.
Active Engagement Much of today's interaction with connected technology happens
through passive engagement. IoT introduces a new paradigm for active content,
product, or service engagement.
Small Devices Devices, as predicted, have become smaller, cheaper, and more
powerful over time. IoT exploits purpose-built small devices to deliver its precision,
scalability, and versatility.
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4. What is IOT?
IoT is the networking of smart objects, meaning a huge number of devices
intelligently communicating in the presence of internet protocol that cannot
be directly operated by human beings but exist as components in buildings,
vehicles or the environment. (Internet Architecture Boards (IAB))
IoT is the networking of smart objects in which smart objects have some
constraints such as limited bandwidth, power, and processing accessibility
for achieving interoperability among smart objects. (Internet Engineering
Task Force (IETF) organizations )
IoT is a framework of all things that have a representation in the presence of
the internet in such a way that new applications and services enables the
interaction in the physical and virtual world in the form of Machine-to-
Machine (M2M) ,communication in the cloud. (IEEE)
IoT is the interaction of everyday objects computing devices through the
Internet that enables the sending and receiving of useful data. (Oxford
dictionarys )
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5. The term Internet of Things (IoT) according to the 2020 conceptual
framework is expressed through a simple formula such as:
IoT= Services+ Data+ Networks + Sensors
Generally, IoT is a network of devices that can sense, accumulate and transfer
data over the internet without any human intervention.
IoT is Smart Object Networking.
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6. The internet of things (IoT) has found its
application in several areas such as
Connected industry,
smart-city,
smart-home,
smart-energy,
Connected car,
smart agriculture,
Connected building and campus,
health care,
Logistics and etc.
Figure 4.1 IoT in different domains
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7. History of IoT
Internet of Things term was first coined by British pioneer Kevin Ashton in 1999. 7
8. IoT Advantages
Improved Customer Engagement
IoT achieves richer and more effective engagement with audiences
Technology Optimization
IoT unlocks a world of critical functional and field data
Reduced Waste
IoT provides real-world information leading to the more effective management of resources.
Enhanced Data Collection
It allows an accurate picture of everything
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9. IoT Disadvantages
Here is a list of some of the disadvantages of IoT. these are:
As the number of connected devices increases and more information is
shared between devices, the potential that a hacker could steal
confidential information also increases.
If theres a bug in the system, its likely that every connected device will
become corrupted.
Since theres no international standard of compatibility for IoT, its
difficult for devices from different manufacturers to communicate with
each other.
Enterprises may eventually have to deal with massive numbers maybe
even millions of IoT devices and collecting and managing the data from
all those devices will be challenging.
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10. How does it work?
An IoT ecosystem consists of web-enabled smart devices that use
embedded processors, sensors and communication hardware to collect,
send and act on data they acquire from their environments.
IoT devices share the sensor data they collect by connecting to an IoT
gateway or another edge device where data is either sent to the cloud to be
analyzed or analyzed locally. Sometimes, these devices communicate with
other related devices and act on the information they get from one another.
The devices do most of the work without human intervention, although
people can interact with the devices.
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11. Three types of Interactions in IoT
1. Device to Device communication
Device-to-device communication model is generally used in home automation.
Low data rate requirement.
Example: Lights, bulbs, locks, and thermostat send a small amount of
information to each other.
Bulb Switch
Wireless Network
ZigBee/Z-
wave/Bluetooth
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12. 2. Device to Cloud communication
Device-to-cloud communication model is used to extend the capability of device by
sending data to cloud for analysis.
Example 1: Nest Lab Learning Thermostat: The device sends data to the cloud to
analyze the home energy consumption.
Example2 : Samsung Smart TV: Sends user viewing information to Samsung and
enable interactive voice recognition system.
Smart
Device Smart
DEVICE
Cloud
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13. 3. Device to Gateway communication
A gateway device is used between device and cloud in the device-to-gateway
communication model.
Example: Fitness tracker. These devices dont have native facility to connect to
the cloud directly, hence they use a mobile app.
Smart
Device
Smart
DEVICE
Cloud
Local Gateway
IPv4/IPv6
protocols protocols
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14. Architecture of IoT
In general, an IoT device can be explained as a network of things that consists of
hardware, software, network connectivity, and sensors. Hence, the architecture of IoT
devices comprises four major components: sensing, network, data processing, and
application layers
Fig 4.2. Architecture of IoT
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16. Sensing Layer
The main purpose of the sensing layer is to identify any phenomena in
the devices peripheral and obtain data from the real world. Using
multiple sensors for applications is one of the primary features of IoT
devices.
These are the small, memory-constrained, often battery-operated
electronics devices with onboard sensors and actuators.
These could either function as standalone sensing devices or be
embedded as part of a bigger machinery for sensing and control. Three
main capabilities of a typical IOT device are:
being able to sense and record data.
being able to perform light computing and,
being able to connect to a network and communicate the data.
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17. Sensors in IoT devices can be classified into three broad categories as described below:
A. Motion Sensor- Motion sensors measure the change in motion as well as the orientation
of the devices. There are two types of motions one can observe in a device:
Linear motion : refers to the linear displacement of an IoT device.
Angular motion: refers to the rotational displacement of the device.
What is the role of motion Sensors?
Example of Home security
Motion sensors stand guard, ready to react to various situations, such as movement in
your living room, windows or doors being opened or closed, or a broken window.
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18. Motion sensors can:
Trigger a doorbell when someone approaches the front door
Alert you when kids enter restricted areas in the home, like the basement, workout
room, or medicine cabinet
Save energy by using motion sensor lighting in unoccupied spaces
Notify you if animals enter areas where theyre not supposed to be
Fig 4.3 Someone is trying to break the door
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19. B. Environmental Sensors: Sensors such as Light sensors, Pressure sensors,
etc. are embedded in IoT devices to sense the change in environmental
parameters in the devices peripheral.
The primary purpose of using environmental sensors in IoT devices is to
help the devices to take autonomous decisions according to the changes of a
devices peripheral.
Environmental sensors are used to sense parameters in the physical
environment such as temperature, humidity, pressure, water pollution, and
air pollution.
For instance, environment sensors are used in many applications to improve
user experience (e.g., home automation systems, smart locks, smart lights,
etc.).
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20. Role of Environmental Sensors?
Example of Environmental monitoring
Monitoring water for quality, pollutants, thermal contaminants, chemical leakages,
the presence of lead, and flood water levels.
Monitoring soil for moisture and vibration levels in order to detect and prevent
landslides.
Monitoring forests and protected land for forest fires.
Monitoring for natural disasters like earthquake and tsunami warnings
Monitoring data centers for air temp辿rature and humidity
Monitoring Air pollution, Soil moisture, Water quality.
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21. C. Position sensors: Position sensors of IoT devices deal with the physical position and
location of the device.
The most common position sensors used in IoT devices are
Magnetic sensors and Global Positioning System (GPS) sensors.
Magnetic sensors are usually used as digital compass and help to fix the
orientation of the device display.
GPS is used for navigation purposes in IoT devices.
A position sensor is any device used for measuring the distance traveled by a body
starting from its reference position.
This type of sensor can also be used to detect the presence or absence of an object.
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22. Network Layer
The network layer acts as a communication channel to transfer data,
collected in the sensing layer, to other connected devices.
In IoT devices, the network layer is implemented by using diverse
communication technologies (e.g., Wi-Fi, Bluetooth, Zigbee, ZWave,
LoRa, cellular network, etc.) to allow data flow between other devices
within the same network.
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23. Data Processing Layer
The data processing layer consists of the main data processing unit of
IoT devices.
The data processing layer takes data collected in the sensing layer
and analyses the data to make decisions based on the result.
In some IoT devices (e.g., smartwatch, smart home hub, etc.), the
data processing layer also saves the result of the previous analysis to
improve the user experience.
This layer may share the result of data processing with other
connected devices via the network layer.
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24. Application Layer
The application layer implements and presents the results of the data
processing layer to accomplish disparate applications of IoT devices.
The application layer is a user-centric layer that executes various tasks
for the users.
There exist diverse IoT applications, which include smart
transportation, smart home, personal care, healthcare, etc.
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25. IoT Tools and Platforms
There are many vendors in the industrial IoT platform marketplace,
offering remarkably similar capabilities and methods of deployment.
These IoT Platform Solutions are based on the Internet of Things and
cloud technology.
They can be used in areas of smart home, city, enterprise, home
automation, healthcare or automotive, just to name a few.
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26. KAA
Manage an unlimited number of connected devices
Set up cross-device interoperability
Perform real-time device monitoring
Perform remote device provisioning and configuration
Collect and analyze sensor data
Analyze user behavior and deliver targeted notifications
Create cloud services for smart products
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27. SiteWhere
Run any number of IoT applications on a single SiteWhere instance
Spring delivers the core configuration framework
Add devices through self-registration
Integrates with third-party integration frameworks such as Mule any point
Default database storage is MongoDB
Eclipse Californium for CoAP messaging
InfluxDB for event data storage
Grafana to visualize SiteWhere data
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28. ThingSpeak
Collect data in private channels
Share data with public channels
MATLAB analytics and visualizations
Alerts
Event scheduling
App integrations
Worldwide community
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29. Device Hive
Directly integrate with Alexa
Visualization dashboard of your choice
It supports Big data solutions such as ElasticSearch, Apache Spark, Cassandra
and Kafka for real-time and batch processing.
Connect any device
It comes with Apache Spark and Spark Streaming support.
Supports libraries written in various programming languages, including
Android and iOS libraries
It allows running batch analytics and machine learning on top of your device
data
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30. Zetta
Supports a wide range of hacker boards
Zetta allows you to assemble smartphone apps, device apps, and cloud apps
ThingsBoard
Real-time data visualization and remote device control.
Customizable rules, plugins, widgets and transport implementations. Allows
monitoring client-side and provision server-side device attributes.
Support multi-tenant installations out-of-the-box.
Supports transport encryption for both MQTT and HTTP(s) protocols.
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31. Applications of IoT
The versatile nature of IoT makes it an attractive option for so many
businesses, organizations, and government branches, that it doesnt make
sense to ignore it. Heres a sample of various industries, and how IoT can
be best applied.
Agriculture
For indoor planting, IoT makes monitoring and management of microclimate
conditions a reality, which in turn increases production.
For outside planting, devices using IoT technology can sense soil moisture and
nutrients, in conjunction with weather data, better control smart irrigation and
fertilizer systems.
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32. Applications of IoT in Agriculture
Monitoring quality of soil in real time
Regulating water supply and controlling usage of water
Monitoring and measuring humidity, temperature etc.
Warehouse monitoring for fire hazards or pests - a lot of crop is damaged in
storage.
It helps identify sick animals so they can be pulled from the herd, preventing
the spread of disease.
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33. Fig 4.4. IoT in Agriculture
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34. Fig 4.5 Technical farmer use Wi-Fi computer control agricultural drone
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35. Fig 4.5 Climate control in greenhouses
Temperature, humidity, light intensity, and soil moisture can be monitored through various sensors.
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36. Consumer Use
For private citizens, IoT devices in the form of wearables and smart homes make
life easier. Wearables cover accessories such as smartphones, Apple watches, health
monitors, to name a few. These devices improve entertainment, network
connectivity, health, and fitness.
Security is made more accessible as well, with the consumer having the ability to
control appliances and lights remotely, as well as activating a smart lock to allow
the appropriate people to enter the house even if they dont have a key.
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37. Healthcare
Wearable IoT devices let hospitals monitor their patients health at home, thereby
reducing hospital stays while still providing up to the minute real-time information
that could save lives.
In hospitals, smart beds keep the staff informed as to the availability, thereby
cutting wait time for free space.
Sensors can also determine if a patient has fallen or is suffering a heart attack.
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38. Insurance
Insurance companies can offer their policyholders discounts for IoT wearables such
as Fitbit. By employing fitness tracking, the insurer can offer customized policies
and encourage healthier habits, which in the long run benefits everyone, insurers,
and customers alike.
Manufacturing
RFID (Radio Frequency Identification) and GPS (Global Positioning System) technology can
help a manufacturer track a product from its start on the factory floor to its
placement in the destination store, the whole supply chain from start to finish.
These sensors can gather information on travel time, product condition, and
environmental conditions that the product was subjected to.
Retail
Online and in-store shopping sales figures can control warehouse automation and
robotics, information gleaned from IoT sensors. Much of this relies on RFIDs,
which are already in heavy use worldwide.
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39. IoT Based Smart Home
Smart Home initiative allows subscribers to remotely manage and
monitor different home devices from anywhere via smartphones or over
the web with no physical distance limitations.
The concept of a Smart Home has become a reality where all devices are
integrated and interconnected via the wireless network.
These smart devices have the potential to share information with each
other given the permanent availability to access the broadband internet
connection.
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40. Remote Control Appliances: Switching on and off remotely appliances to
avoid accidents and save energy.
Weather: Displays outdoor weather conditions such as humidity,
temperature, pressure, wind speed and rain levels with the ability to
transmit data over long distances.
Smart Home Appliances:
Refrigerators with LCD screen telling whats inside, food thats about to expire,
ingredients you need to buy and with all the information available on a
smartphone app.
Washing machines allowing you to monitor the laundry remotely.
The kitchen ranges with the interface to a Smartphone app allowing remotely
adjustable temperature control and monitoring the ovens self-cleaning feature.
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41. Safety Monitoring: cameras, and home alarm systems making people
feel safe in their daily life at home.
Intrusion Detection Systems: Detection of window and door openings
and violations to prevent intruders.
Energy and Water Use: Energy and water supply consumption
monitoring to obtain advice on how to save cost and resources, &
many more.
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42. IoT Based Smart City
Structural Health: Monitoring of vibrations and material conditions in
buildings, bridges and historical monuments.
Recent train accident in
M.P. on August 4, 2015
Building collapsed in
Thane, August 5,
2015
Poor structural monitoring
Future trends: Using
sensors and drones for
monitoring Bridge
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43. Lightning: intelligent and weather adaptive lighting in street lights.
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44. Smart Parking: Real-time monitoring of parking spaces available in the city making
residents able to identify and reserve the closest available spaces.
Make use of ground sensor and infrastructure sensors to monitor parking space
in real-time and help traffic management within the city.
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45. Safety: Digital video monitoring, fire control management, public
announcement systems.
Transportation: Smart Roads and Intelligent High-ways with warning
messages and diversions according to climate conditions and
unexpected events like accidents or traffic jams.
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46. Waste Management: Detection of rubbish levels in containers to
optimize the trash collection routes. Garbage cans and recycle bins
with RFID tags allow the sanitation staff to see when garbage has been
put out.
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47. IoT Based Smart Farming
Green Houses: Control micro-climate conditions to maximize the production of fruits
and vegetables and its quality.
Compost: Control of humidity and temperature levels in alfalfa, hay, straw, etc. to
prevent fungus and other microbial contaminants.
Offspring Care: Control of growing conditions of the offspring in animal farms to
ensure its survival and health.
Field Monitoring: Reducing spoilage and crop waste with better monitoring, accurate
ongoing data obtaining, and management of the agriculture fields, including better
control of fertilizing, electricity and watering.
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48. Animal Farming/Tracking: Location and identification of animals grazing in open
pastures or location in big stables, Study of ventilation and air quality in farms and
detection of harmful gases from excrements.
Cattle monitoring and management: there are IoT agriculture sensors that can be
attached to the animals on a farm to monitor their health and log performance.
It helps identify sick animals so they can be pulled from the herd, preventing
the spread of disease.
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49. Examples of Smart Farming / Smart City
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