Internet of Things (IoT) | Assignment

Running head: INTERNET OF THINGS
Internet of Things
Topic: Machine learning to make intelligent decisions in Internet of Things
Name of the Student
Name of the University
Author Note:

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Abstract
The use of machine leaning can be made in order to know what decision has to be taken to
benefit. The machine learning makes the use of various forms of techniques and helps in the
identification of the future scope of the decision. The process of machine learning analyses a
number of data at the particular topic before giving the best possible answers. The report puts
forward the idea how the machine learning technology can be used to make the intelligent
decisions in Internet of things (IOT). The report puts forward the concept of machine learning in
internet of things. The various methodologies of internet of things technology is also presented
here, which are important for the making of the important decisions. The use of one of the
methodologies has been made and how that methodology can implement the machine learning
technology is also presented in the report. Among the five methodologies that have been
presented two methodologies those are applicable here have been discussed. Lastly, the report
concludes how the machine learning process can be used more efficiently and effectively.

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Table of Contents
Introduction:....................................................................................................................................4
Purpose of the report....................................................................................................................4
Expected format of the report......................................................................................................5
Problem statement.......................................................................................................................5
Introduction to the Problem:........................................................................................................6
Structure of the Report:...............................................................................................................6
Literature Review:.......................................................................................................................7
Past and Present Works:..........................................................................................................7
Requirement for the Project:....................................................................................................8
Methodologies for Overcoming the Problem:.........................................................................8
Making smart decisions in the internal of the Organization:...................................................9
Methodologies:............................................................................................................................9
Methodology 1:........................................................................................................................9
Methodology 2:......................................................................................................................10
Methodology 3:......................................................................................................................11
Methodology 4:......................................................................................................................13
Methodology 5:......................................................................................................................14
Comparison of methodology.....................................................................................................15
Efficiency...............................................................................................................................15

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Simplicity...............................................................................................................................15
Extension into another kinds of applications.............................................................................16
Time saving of internet of things...............................................................................................16
Commercial issues.....................................................................................................................17
Implementation of Methodology:..............................................................................................20
Conclusion:....................................................................................................................................23

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Introduction:
The internet of things involve the connection and the interaction of a number of devices.
A large number of devices are connected together in a network. All the devices are connected
and the devices can interact with each other. The various applications of the internet of things
such as the smart city or the smart street lighting system can easily be controlled by the use of
machine learning. The machine learning concept compares the various data and puts forward the
best possible solution. The concept of machine learning can also be used for finding the cyber
security solutions. The report shows how the concept of machine learning technology can be
used in internet of things for making intelligent decisions. The report also puts forward the
methodologies
Purpose of the report
The internet of things concept is the interconnection of a large number of devices to a
certain network that will help in the interaction with the other devices that are present in the
network (Kim et al., 2016). The devices may involve the various sensors, actuators and the other
important devices. The connection to the same network helps in interaction with the large
number of devices at the same time. If any message is to be posted to a large number of systems
at the same time then the use of the internet of things can be brought to practice. The machine
learning process involves the use of the system in order to detect the possible outcomes from a
particular project. The machine learning process is helpful in the execution of the various tasks.
The new form of tasks that the machine may not be able to perform is recorded and the solution
is told to the machine from the other sources. The solution, which was new to the machine is
now stored in the machine such that if such a problem arises in the future then the task would be

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solved easily by the machine learning process. The machine learning may not be able to find
some solutions or predict a number of things. The use of internet of things technology may be
helpful in the finding of the various solutions. The system or the devices that are connected to the
internet of things framework can be able to find the solution for the system.
Expected format of the report
The report discusses about how machine learning can be used in the decision- making
intelligently in the internet of things network. The report presents a literature review, which puts
forward the works in the topic, which is to be discussed. The report discusses the various
methods that can be used in order to implement the machine learning process in the internet of
things. The various methodologies are then compared on the various fields and then the best
method that suits the project is then selected.
Problem statement
Rapid developments in hardware, software as well as communication technologies have
allowed the emergence of internet-connected sensory devices. It provides observation as well as
data measurement from physical world. It is estimated that total number of internet-connected
devices will be used between 20 to 25 billion by 2020 (Zhao & Ge, 2013). As the numbers
increase and technologies become mature, the volume of date published will also increase. The
internet-connected devices technology are referred as IOT that continues to extend current
internet through providing connectivity as well as interaction between physical and cyber
volumes (Zhang et al, 2014). Moreover, increased volume of IoT produces Big Data
characterized by velocity in terms of location and time dependency.