This document provides an overview of the Internet of Things (IoT). It begins by defining IoT and describing its key features such as artificial intelligence, connectivity, sensors, active engagement, and use of small devices. It then explains how IoT works and describes its architecture which includes sensing, network, data processing, and application layers. The document discusses the history of IoT and provides examples of its applications in various domains like smart homes, healthcare, transportation, and agriculture. It also outlines some of the pros and cons of IoT such as improved customer engagement but also security and privacy risks. In the end, the document discusses some IoT tools and platforms.
topics discussed:
internet of things the future.
is IOT a fad?
future opportunities for internet of things
market size of internet of things.
current market.
obstacles in internet of things
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
topics discussed:
internet of things the future.
is IOT a fad?
future opportunities for internet of things
market size of internet of things.
current market.
obstacles in internet of things
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
Internet of things are exploding. This whitepaper would help product developers to understand the Security and Privacy issues, their impact and a recommendation for embedding the best practices during PDLC.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
The next big discovery after the .com boom is the internet of things. It is the technique to impart the ability to the non-living objects or our daily life gadgets to sense and understand from our surrounding environment.
In this slide, i have show you basic definition of Internet of things as well as applications of internet of things which are currently trending like Iot in field of Healthcare and wearables and waste management and many more and challenges that a IOT project or product faces in implementation and different protocols which are generally used in field of Internet of things.
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
IIoT is often presented as a revolution that is changing the face of industry in a profound manner. In reality, it is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago. As the necessary global standards mature, it may well take another 15 years to realise the full potential of IIoT. Over this period of time the changes to the industry will be far reaching. The good news is that end users and machine builders can now leverage their existing investments in technology and people while taking advantage of available new IIoT technologies.
Introducing IIoT solutions using a “wrap & re-use” approach, rather than a “rip & replace” approach will enable greater business control. In addition, this measured approach will drive the evolution towards a smart manufacturing enterprise that is more efficient, safer, and sustainable. The emergence of the IIoT megatrend has created both hope and confusion among stakeholders responsible for operating industrial plants. Much of the early hype was focused on the impact of technological advancements on existing automation platforms.
Internet of things are exploding. This whitepaper would help product developers to understand the Security and Privacy issues, their impact and a recommendation for embedding the best practices during PDLC.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
The next big discovery after the .com boom is the internet of things. It is the technique to impart the ability to the non-living objects or our daily life gadgets to sense and understand from our surrounding environment.
In this slide, i have show you basic definition of Internet of things as well as applications of internet of things which are currently trending like Iot in field of Healthcare and wearables and waste management and many more and challenges that a IOT project or product faces in implementation and different protocols which are generally used in field of Internet of things.
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
IIoT is often presented as a revolution that is changing the face of industry in a profound manner. In reality, it is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago. As the necessary global standards mature, it may well take another 15 years to realise the full potential of IIoT. Over this period of time the changes to the industry will be far reaching. The good news is that end users and machine builders can now leverage their existing investments in technology and people while taking advantage of available new IIoT technologies.
Introducing IIoT solutions using a “wrap & re-use” approach, rather than a “rip & replace” approach will enable greater business control. In addition, this measured approach will drive the evolution towards a smart manufacturing enterprise that is more efficient, safer, and sustainable. The emergence of the IIoT megatrend has created both hope and confusion among stakeholders responsible for operating industrial plants. Much of the early hype was focused on the impact of technological advancements on existing automation platforms.
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3. 3
Describe IoT
Explain the history of IoT
Describe the pros and cons of IoT
Explain how IoT works
Explain the architecture of IoT
Describe IoT tools and platforms
Describe some of the application areas of IoT
4. 4
The most important features of IoT include Artificial Intelligence,
Connectivity, Sensors, Active engagement, and Small device use.
5. 5
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. They act as defining
instruments that transform IoT from a standard passive network of
devices into an active system capable of real-world integration.
6. 6
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.
8. 8
According to the Internet Architecture Board’s (IAB) definition, 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.
According to the Internet Engineering Task Force (IETF) organization’s
definition, 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.
9. 9
According to the IEEE Communications category magazine’s definition,
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 enable the interaction in the physical and virtual world in the
form of Machine-to-Machine (M2M) communication in the cloud.
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
10. 10
The Internet of Things (IoT) is the network of physical objects or
"things" embedded with electronics, software, sensors, and network
connectivity, which enables these objects to collect and exchange data.
IoT is a system of interrelated computing devices, mechanical and
digital machines, objects, animals or people that are provided with
unique identifiers and the ability to transfer data over a network
without requiring human-to-human or human-to-computer
interaction.
IoT is a network of devices that can sense, accumulate and transfer
data over the internet without any human intervention.
11. 11
The IoT consists of a gigantic network of internet-connected “things”
and devices.
12. 12
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, among other domains.
14. 14
The Internet, itself a significant component of the IoT, started out as
part of DARPA (Defense Advanced Research Projects Agency) in 1962
and evolved into ARPANET in 1969.
In the 1980s, commercial service providers began supporting public
use of ARPANET, allowing it to evolve into our modern Internet.
Global Positioning Satellites (GPS) became a reality in early 1993, with
the Department of Defense providing a stable, highly functional system
of 24 satellites.
15. 15
By the year 2013, the Internet of Things had evolved into a system
using multiple technologies, ranging from the Internet to wireless
communication and from micro-electromechanical systems (MEMS) to
embedded systems.
Kevin Ashton, the Executive Director of Auto-ID Labs at MIT, was the
first to describe the Internet of Things, during his 1999 speech.
16. 16
Improved Customer Engagement - Current analytics suffer from blind-
spots and significant flaws inaccuracy; and as noted, engagement
remains passive. IoT completely transforms this to achieve richer and
more effective engagement with audiences.
Technology Optimization - The same technologies and data which
improve the customer experience also improve device use, and aid in
more potent improvements to technology. IoT unlocks a world of
critical functional and field data.
17. 17
Reduced Waste - IoT makes areas of improvement clear. Current
analytics give us superficial insight, but IoT provides real-world
information leading to the more effective management of resources.
Enhanced Data Collection - Modern data collection suffers from its
limitations and its design for passive use. IoT breaks it out of those
spaces and places it exactly where humans really want to go to analyze
our world. It allows an accurate picture of everything.
18. 18
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 there’s a bug in the system, it’s likely that every connected device will
become corrupted.
Since there’s no international standard of compatibility for IoT, it’s
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.
19. 19
Security - IoT creates an ecosystem of constantly connected devices
communicating over networks. The system offers little control despite
any security measures. This leaves users exposed to various kinds of
attackers.
Privacy - The sophistication of IoT provides substantial personal data in
extreme detail without the user's active participation.
Complexity - Some find IoT systems complicated in terms of design,
deployment, and maintenance given their use of multiple technologies
and a large set of new enabling technologies.
20. 20
Flexibility - Many are concerned about the flexibility of an IoT system
to integrate easily with another. They worry about finding themselves
with several conflicting or locking systems.
Compliance - IoT, like any other technology in the realm of business,
must comply with regulations. Its complexity makes the issue of
compliance seem incredibly challenging when many consider standard
software compliance a battle.
21. 21
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.
The devices do most of the work without human intervention,
although people can interact with the devices.
The connectivity, networking and communication protocols used with
these web-enabled devices largely depend on the specific IoT
applications deployed.
22. 22
IoT device can be explained as a network of things that consists of
hardware, software, network connectivity, and sensors.
the architecture of IoT devices comprises four major components:
sensing, network, data processing, and application layers.
1. 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.
• This layer consists of several sensors.
• Sensors in IoT devices can be classified into three broad categories
23. 23
Motion Sensors: 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 and angular motions.
The linear motion refers to the linear displacement of an IoT device
while the angular motion refers to the rotational displacement of the
device.
24. 24
Environmental Sensors: Sensors such as Light sensors, Pressure
sensors, etc. are embedded in IoT devices to sense the change in
environmental parameters in the device’s 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 device’s peripheral.
25. 25
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 a digital compass and help to fix
the orientation of the device display.
On the other hand, GPS is used for navigation purposes in IoT devices.
26. 26
2. 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.
27. 27
3. 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.
28. 28
4. 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.
32. 32
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.
If the sprinkler systems dispense water only when needed, for
example, this prevents wasting a precious resource.
34. 34
Consumer Use - For private citizens, IoT devices in the form of
wearables and smart homes make life easier.
Wearables cover accessories such as Fitbit, smartphones, Apple
watches, health monitors, to name a few.
These devices improve entertainment, network connectivity, health,
and fitness.
36. 36
Healthcare - First and foremost, wearable IoT devices let hospitals
monitor their patients’ health at home, thereby reducing hospital
stays while still providing up to the minute realtime information that
could save lives.
In hospitals, smart beds keep the staff informed as to the availability,
thereby cutting wait time for free space.
39. 39
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.
40. 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.
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.
41. 41
Smart Home Appliances: Refrigerators with LCD screen telling what’s
inside, food that’s 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, and.
The kitchen ranges with the interface to a Smartphone app allowing
remotely adjustable temperature control and monitoring the oven’s
self-cleaning feature.
Energy and Water Use: Energy and water supply consumption
monitoring to obtain advice on how to save cost and resources, &
many more.
42. 42
Structural Health: Monitoring of vibrations and material conditions in
buildings, bridges and historical monuments.
Lighting: intelligent and weather adaptive lighting in street lights.
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.
43. 43
Smart Parking: Real-time monitoring of parking spaces available in the
city making residents able to identify and reserve the closest available
spaces,
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.
45. 45
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.
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.
46. 46
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.