Machine Learning Applications in IoT for Intelligent Decisions

This report explores the application of machine learning to facilitate intelligent decision-making within the Internet of Things (IoT). It introduces the concepts of IoT and machine learning, highlighting the challenges of making informed decisions in complex IoT networks. The report includes a literature review of past and present works in the field, focusing on organizations like Google and Iris that leverage machine learning for smart decisions. Various methodologies for implementing machine learning in IoT are discussed, with a comparison based on efficiency, cost, and effectiveness. The report also addresses cybersecurity issues and concludes by suggesting ways to improve the implementation of machine learning in IoT for enhanced decision-making, providing a comprehensive overview of how machine learning can optimize IoT operations. Desklib provides access to this and other solved assignments.

Running head: 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:
In the internet of things field a number of decisions has to be made. These decisions can be
made easily with the help of the machine learning technology. The machine learning
technology can predict the benefit or the proper location for investment. The report puts
forward the idea of the use of machine learning for the making of intelligent decisions in
case of any application in internet of things. The report introduces the concept of internet of
things and the concept of machine learning.

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Table of Contents
Purpose of the Report:.....................................................................................................................2
Expected format of the Report:........................................................................................................2
Problem Statement:..........................................................................................................................3
Introduction to the Problem:............................................................................................................3
Structure of the Report:...................................................................................................................4
Literature Review:...........................................................................................................................6
Introduction:................................................................................................................................6
Past and Present work:.................................................................................................................6
Project Requirement:...................................................................................................................9
Methodology for betterment of Problem Statement:.................................................................10
Intelligent Decision within organization:..................................................................................11
Methodologies:..............................................................................................................................12
Method 1:...................................................................................................................................13
Method 2:...................................................................................................................................13
Method 3:...................................................................................................................................14
Method 4:...................................................................................................................................14
Method 5:...................................................................................................................................15
Comparison of the various methods:.............................................................................................16
Efficiency:..................................................................................................................................16

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Simplicity:..................................................................................................................................16
Time saving in IOT:...................................................................................................................16
Security:.....................................................................................................................................17
Use of methods in machine learning:............................................................................................19
Conclusion:....................................................................................................................................21
References :...................................................................................................................................22

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Purpose of the Report:
The use of the internet of things technology has changed the world and the way people
look at things. The tasks have become much easier and the way of working has changed for
people. However, for the proper working of the internet of thing technology and for the
proper implementation it is necessary to take the important intelligent decisions and make
the choices. The purpose of the report is to present how can these intelligent decisions be
taken (Sellak et al., 2017). The use of the machine learning technology will be made in order
to make the intelligent decisions. The use of the internet of things can be made in the various
field such as the smart city or the smart street lightning. The main purpose of the report is to
address the problems that may arise in the internet of things and how those problems can be
removed (Meidan et al., 2017). The machine learning technology is such that if any of the
solution is not present in the system then the solution gets added to the system and the next
time if the similar kind of issue occurs then the solution is put forward automatically.
Expected format of the Report:
The main idea of the report is to discuss about the usage of the machine learning
technology for the making of the intelligent decisions in the network of the internet of
things. The report contains a literature review, which discusses the recent and the past works
of the topic. The report then discusses the methods that can be used for the proper
implementation of the machine learning concept. The best method that can be used for the
implementation of the machine learning concept in a proper manner is also presented in the
report.

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Problem Statement:
The use of the machine learning technology needs to be made as the organization are not
able to make the proper decisions, which often lead to the downfall of the organization. The
additional cost for the installation of the machine learning technology implementation is
required by the organization. The machine learning also cannot solve the issue that has
occurred for the first time. The other major issue that is faced in every sector is the cyber
security problem(Von Solms & Roussel, 2015). The previous solutions to the various issues
of the cyber security may be checked and can be compared by the help of the machine
learning technology and the best solution for the elimination of the cyber security issue is put
forward.
Introduction to the Problem:
The problem that maybe involved in the report is the implementation of the machine
learning for the solving of the problem. The machine learning technology compares the data
that is present in the system for putting forward the solution. The use of the technology is
made for the comparison of the various data and information. The problem occurs when
there is no previous data or information available on the particular topic (Hossain, Fotouhi &
Hasan, 2015). In this case, the use of the machine learning technology would not be able to
put forward any of the solution as there is no data to compare with or there is no solution
present that was previously used. The use of the machine learning technology cannot be
obtained in the case of solving cyber securities also as if any of the new cyber attacks occur
then the machine learning technology would not be able to refer to any of the solution to
suggest for the overcoming of the cyber security issue. This is a major problem of the
machine learning technology otherwise which technology is very useful for the

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determination and providing the best solution available. The other problem may be the
making of the intelligent decisions in the internet of things (Suthaharan, 2014). The internet
of things consists of a large and complex network, which involves the interaction with the
other devices. In this complex network it is difficult to make the intelligent decisions. The
use of machine learning can be made. However, the decisions may not be in accordance to
the requirements. There are a large number of intelligent decisions that needs to be taken at a
short span of time. The making of the intelligent decision is a continuous process that is the
end of a process leads to the start of another process. At each step there is a decision that
needs to be made and this is a complex process. The internet of things is a complex process
that has a large number of devices connected to the network (Meidan et al. 2017). The large
number of devices interact with each other and the communication among the devices helps
in the carrying out of the various functions. However, the large number of devices makes the
structure and the working of the technology complex. A problem in one of the system may
cause a problem in the whole network. These problems needs to be addressed for the proper
completion of the project.
Structure of the Report:
The report discusses about the process in which the use of machine learning technology
can be made for the making of the intelligent decisions in IoT. The report presents the idea
of the machine learning and internet of things individually. The structure of the report is:
 Introduction: The first part of the report that is the introduction introduces the
concept of the machine learning and its implementation for the intelligent

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decision making. This part of the report discusses the purpose of the report, the
problems that are present in the report and also the format of the report.
 Literature Review: The literature review, which is the main focus of the report
discusses about the past and the present work on the field of machine learning.
The reference of the various articles and journals can be taken for presenting the
various works in the field of machine learning and how the technology of
machine learning can be applied for the intelligent decision making in the field of
internet of things.
 Methodologies: The next section of the report discusses the various
methodologies that can be used for the implementation of the machine learning
concept in the field of internet of things technology. These methodologies can be
applied for the better implementation of the machine learning technology.
 Comparison of the Methodologies: The comparison of the various methodologies
on the basis of the efficiency, cost and the effectiveness is done. The comparison
puts forward the best technology that can be used in the field of the machine
learning technology for the making of the intelligent decisions.
 Selection of the methodology: This part of the report discusses the methodology
that can be used for the appropriate application in this case. The use of one or
more methodology can be made which is applicable in this case.
 Conclusion: This part concludes the repost and states the ways in which the
methods of the implementation of the machine learning technology can be
improved.

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Literature Review:
Introduction:
The literature review presents the use of the machine learning concept. The review
presents how the use of machine learning has been made in order to carry out the working of
the organization and present how the use of machine learning can be made in order to make
the various important decisions. Two organizations namely Google and Iris has been
selected in order to make the topic more clear. Both the organizations are well renowned
organizations which are responsible for the use of the machine learning in the field of
internet of things for the better making of the various smart decisions (Jeschke et al., 2017).
In the literature review the working of the various organizations are involved which helps in
the better understanding of the concept of both internet of things and machine learning. The
various methodologies that may be used for the betterment of the problem that was stated.
The various methodologies have been discusses in the later part of the report in detail. This
part speaks of the methods in brief. The mention of big data and cloud has been made here as
a method for the proper use of machine learning in order to make the intelligent decisions.
Past and Present work:
The use of the machine learning concept has been made by the various organizations
right from the past in order to make smart decisions and uphold the reputation of the
organization. The use of the machine learning concept for the better decision making in the
internet of things field is an advanced concept that is applied by the various organizations in
the recent times. The IOT concept is being implemented by the various organization for
carrying out of the various business operation (Kim et al., 2017). The use of the concept of
internet of things is being made by the different industries and the consulting services.

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However, the implementation of the internet of things concept is not an easy task as the
various decisions has to be carried out by the organizations. For this reason, the use of
machine learning concept is included in the internet of things field. The data analysis that is
made in the field of internet of things is the new advancements. The solution that is
presented by the internet of things presents the view of the data of the organization. The use
of the machine learning concept for the decision making in internet of things refers to the
viewing of the previous data and comparing the various solutions in order to know the
answer about the problem (Lee, Kao & Yang, 2014). The use of the machine learning is
made when the large amount of data has to fed into the cloud by the use of the concept of the
machine learning methodology. The use of the machine learning concept is made in order to
check the previous data and based on the data the various predictions may be made such as
those that is related to the weather or that to the environment. These predictions are often
used by the various organization in order to take the important decisions such as those that is
related to the launch of the products or the broadcasting of the advertisement related to the
products. The use of the internet of things concept in an organization is made in order to
provide the information about the data of the organization (Li & Li, 2017). A much better
application of the internet of things is when the use of the technology can be used to predict
the next step of the organization. The next step that has to be taken is put forward by the
internet of things concept if the use of machine learning is implemented in this field.
The Google organization had made the use of the concept of the machine learning in
order to make amendments and take the organization to a much larger stage. The use of the
machine learning is made by the organization in order to gain the competitive advantage
over the other organization. The various decision making that have to done by the Google is

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only possible by the use of any advanced technology such as that of machine learning. By
the use of the internet of things the large number of devices can interact with each other
(Kim et al., 2017). The management of this large number of devices is done on the basis of
the previous data that is available. The use of the machine learning concept helps in knowing
the fact about the management of the large number of devices. The Google implements the
various recent technologies. The use of the correct technology for the correct task is also
implemented by Google by the use of machine learning concept. The use of the machine
learning concept helps in the making of the decision as to which technology has to be
selected.
Google implements the various concepts such as the speech recognition or the concept of
the Google assistant implements the machine learning concept in order to know the
technology that has to be implemented for the proper working of the concept. The search
results that has to be put forward is done on the basis of the machine learning concept. The
use of the machine learning concept is made on the concept of the search results that is put
forward. The use of the machine learning concept deals with the search result that has to be
put forward. As the user searches for a particular result there are a large number of results
that is possible (Karwowski & Ahram, 2017). However, intelligent decisions has to be taken
in this case as to which search result is to be put forward such that the requirement of the
user is met. The use of the machine learning helps in the taking of these type of decisions.
The use of the machine learning technology helps in the knowing of the fact which data has
been viewed on the most by the users. On the basis of this research the use of the machine
learning the most relevant solution is put forward. The use of the machine learning helps in

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the checking of the information regarding the various search results that is found and on the
basis of that the best solution is put forward.
Project Requirement:
The requirement of the project must be met so that the outcome of the project is achieved
in a proper manner. For the proper achievement of the requirement of the project there
should be trained personnel who can handle the system of the machine learning. The proper
machine learning concept of the internet of things field is applied by the trained
professionals. If the trained professionals do not handle the machine learning concepts then
there may be drastic steps that may take place due to the improper work conducted by the
professionals. The reputation of the company is at stake when the processes are carried out.
The use of the machine learning concept should be reviewed after the application by any of
the trained professionals. The various machines are connected with the help of internet of
things technology. This means that the various systems of the organization implementing the
internet of things technology are connected to each other. The improper working of one of
the system means that the other systems may not be working in a proper manner (Fadlullah
et al., 2017). If the network of one of the system is hacked then there is a chance of the other
system that is connected in the network of being hacked. The proper security issues is also
put forward by the use of machine learning. The use of the machine learning is implemented
by many of the organizations in order to know the solutions for getting rid of the issues
related to cyber security. The machine learning gives the solution based on the previous
solutions that is available in the system.