Introduction to IoT Data Analytics Chapter 1

IoT Data Analytics chapter 1

1. Introduction
to IoT
CSC1212 IOT DATA ANALYTICS

2. Learning objectives
At the end of this chapter, student should be able to:
1.Define what is Internet of Things
2.State the lifecycle of IoT
3.Explain how the IoT works

3. What is IoT?
❑Internet of Things (IoT) is a system of devices connected to the Internetwith
the ability to collect and exchange data from users or environment with no
human intervention.
❑The device or the ‘thing’ in IoT could be any device embedded with
electronics, software and sensor like a smart refrigerator, a smart air
conditioner, lights in household, connected security systems or even a person
with a heart monitor or an automobile.

4. Why
IoT?
Lazy
automate
control
See data
in real-
time

5. ABOUT IOT
➢Sensorsarefittedeverywhereacross
everydevicescollectingreal-timedata
consistently.
➢Everydevicehasitsuniqueidwhich
makesthecommunicationpossible
amongthem.

6. ➢Is itpossible to assign addresses to all the devices in the world?
➢Yes, IPv6 has a huge address space of 2^128

7. ➢Tons of data are collected from
devices all over the world.
➢Where could we store this huge
sum of data?

8. ➢The data collected from devices is quite large and complex that becomes
difficult to analyse using traditional data processing techniques, we call
those data “Big Data”

9. Collect Communicate Analyze
Act
Internet of things lifecycle

10. Collect
•Devices and sensors are
collecting data everywhere
Internet of things lifecycle

11. Communication
•Sending data and events through
networks to some destination
•Cloud platform, private data center,
home network
Internet of things lifecycle

12. Analysis
•Creating information from the data
•Visualizing data, build reports,
filter data
Internet of things lifecycle

13. Action
•Take action based on the information and data
•M2M communication
•Send notification
•Communication to another system
Internet of things lifecycle

14. How IoT works?
RFID
To identify
and track
the data of
things
SENSOR
To collect
and process
data to
detect
changes
SMART
TECH
To enhance
the power of
network by
developing
processing
capabilities
to different
part of
network
NANO
TECH
to make
smaller
things have
ability to
connect and
interact

15. Challenges in
IoT
➢ Sensing a complex environment
➢ Innovative ways to sense and deliver information
from physical world to the cloud.
➢ Connectivity
➢ Variety of wired and wireless standards are
required to enable different application needs.
➢ Power
➢ Many IoT applications need to run for years over
battery and reduce the overall energy consumption.

16. Challenges in
IoT
➢ Security
➢ Protecting user’s privacy, manufacturer’s IP
and blocking malicious activity.
➢ Complexity
➢ IoT application development needs to be easy
for all developers not just to experts.
➢Cloud
➢ IoT applications require end-to-end solutions
including cloud services.

17. Conclusion
➢ While IoT is complex and poses some risks and is
still evolving, many pioneers have started adopting
this technology.
➢ IoT can help innovate new process and initiatives
that could transform businesses, lives and the
world.
➢ We are also trying to understand what the many
opportunities and challenges are going to be as
more and more devices start to join the IoT.
➢ The best thing that we can do is educate
ourselves about what the IoT is and the potential
impacts that can be seen on how we work and live.

18. Group discussion
In group, please discuss among team members any applications
that can be done the data analysis.
Present your idea including the title, objective and what are the
data that you want to analyze.