ENERGY EFFICIENT AND EFFECTIVELY SECURED DATA …€¦ · 1.2 Virtual Description of WSN 5 1.3...

Front Main Cover Page Format- Guide and Co-Guide on the hard bound

ENERGY EFFICIENT AND EFFECTIVELY SECURED DATA

AGGREGATION IN CLUSTER BASED WIRELESS SENSOR

NETWORKS

(A Thesis submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy in Computer Science and Engineering)

Submitted by

Abdul Raheem Syed

(SRN – R15PCS02)

Under the Guidance of

Dr. M Prabhakar

Associate Professor, School of Computing & Information Technology,

REVA University, Bengaluru

&

Dr. M Ramesh



SCHOOL OF COMPUTING & INFORMATION TECHNOLOGY

REVA UNIVERSITY

Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bengaluru – 560 064

2019

Title Page Format- Guide and Co-Guide on the inner page



NETWORKS

(A Thesis submitted in partial fulfilment of the requirements for the award of the degree of Doctor of

Philosophy in Computer Science and Engineering)

Submitted by

Abdul Raheem Syed

(SRN – R15PCS02)


Dr. M Prabhakar



&

Dr. M Ramesh




REVA UNIVERSITY


2019

Front Main Cover Page Format- Guide on the hard bound



NETWORKS

(A Thesis submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy in Computer Science and Engineering)

Submitted by

Abdul Raheem Syed

(SRN – R15PCS02)


Dr. M Prabhakar




REVA UNIVERSITY


2019

Title Page Format- Guide on the inner page



NETWORKS

(A Thesis submitted in partial fulfilment of the requirements for the award of the degree of Doctor of

Philosophy in Computer Science and Engineering)

Submitted by

Abdul Raheem Syed

(SRN – R15PCS02)


Dr. M Prabhakar




REVA UNIVERSITY


2019


Declaration

I Abdul Raheem Syed certify that the Thesis entitled “Energy Efficient and Effectively Secured

Data Aggregation In Cluster Based Wireless Sensor Networks” submitted by me in partial

fulfilment of the requirements for the award of the degree of Doctor of Philosophy in Computer

Science and Engineering of REVA University is based on the results of the research work carried out

by me and reported by me under the guidance and supervision of Dr. M Prabhakar.

I also certify that this thesis or any part of it has not been submitted for award of any other degree /

diploma of this or any other University / Institute.

I further certify that this thesis has undergone plagiarism verification and plagiarism is found to be

within the permissible limit.

Bengaluru Abdul Raheem Syed

Date:

Certified that Mr Abdul Raheem Syed has carried out the research and has prepared the Thesis

submitted in partial fulfilment of the requirements for the award of the degree on the above

mentioned topic under my guidance and supervision. This Thesis has undergone plagiarism check

and plagiarism is found to be within the permissible limit. Further, this Thesis or any part thereof

has not been submitted for any purpose to any other University or Institute.

Dr. M Prabhakar

Guide

Dr. Sunilkumar S. Manvi

Director

School of Computing & Information Technology


Declaration

I Abdul Raheem Syed certify that the Thesis entitled “Energy Efficient and Effectively Secured

Data Aggregation In Cluster Based Wireless Sensor Networks” submitted by me in partial

fulfilment of the requirements for the award of the degree of Doctor of Philosophy in Computer

Science and Engineering of REVA University is based on the results of the research work carried out

by me and reported by me under the guidance and supervision of Dr. M Prabhakar.

I also certify that this thesis or any part of it has not been submitted for award of any other degree /

diploma of this or any other University / Institute.

I further certify that this thesis has undergone plagiarism verification and plagiarism is found to be

within the permissible limit.

Bengaluru Abdul Raheem Syed

Date:

Certified that Mr Abdul Raheem Syed has carried out the research and has prepared the Thesis

submitted in partial fulfilment of the requirements for the award of the degree on the above

mentioned topic under my guidance and supervision. This Thesis has undergone plagiarism check

and plagiarism is found to be within the permissible limit. Further, this Thesis or any part thereof

has not been submitted for any purpose to any other University or Institute.

Dr. M Prabhakar Dr. M Ramesh

Guide Co-Guide

Dr. Sunilkumar S. Manvi

Director

School of Computing & Information Technology

PLAGIARISM CERTIFICATE

(To be inserted after collecting the certificate from R&I Council)

ACKNOWLEDGEMENT

(Preamble for the acknowledgement

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx



xxxxxxxxxxxxxxxxxxxxxxxxxxxxx acknowledge guide and co-guide if any)

I express my deepest gratitude to Dr. P. Shyama Raju, Chancellor, REVA University,

Bengaluru, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

I owe my deepest gratitude to Dr. S. Y. Kulkarni, Vice-Chancellor, REVA University,

Bengaluru, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

I would like to thank Dr. M. Dhanamjaya, Registrar, REVA University, Bengaluru,

xxxxxxxxxxxxxxxxxxxxxx

It is pleasure to express my gratitude whole heartily thanks to Dr. Sunilkumar S.

Manvi, Director, School of xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Scholar Name

TABLE OF CONTENTS

Contents

Page

No.

ACKNOLEDGEMENT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I

TABLE OF CONTENT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . II

LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . VIII

LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X

LIST OF ABBREVIATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . XII

1 Introduction 1

1.1 Overview of Wireless Sensor Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2

1.2 WSN Design Considerations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.2.1 Contemplations of Hardware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

1.2.1.1 Processing module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

1.2.1.2 Communication module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

1.2.2 Software considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

1.2.2.1 Duty cycling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

1.2.2.2 Data Minimization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

1.2.2.3 Acquisition of Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

1.2.2.4 Processing of Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

1.3 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

1.3.1 Clustering overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

1.3.2 Challenges for clustering algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . 11

1.3.2.1 Energy Limitation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

1.3.2.2 Duration of Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

1.3.3 Classification of cluster based routing protocol . . . . . . . . . . . . . . . . . 13

1.4 Motivation …………………………………………………………………...

1.5 Original Contributions……………………………………………………….

1.6 Publications out of Research…………………………………………………

1.7 Organization of Thesis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . 31

2 Literature Survey

2.1 Security Related Approaches for WSN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

2.2 Energy Concern Approaches for WSN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

2.3 Fault Detection and Recovery Approaches of WSN . . . . . . . . . . . . . . . . . . . . . 38

2.4 Compressive Sensing Approaches in WSN . . . . . . . . . . . . . . . . . . . . . . . . . . . 46

2.5 Research Gaps. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

2.6 Research Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

2.7 Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . 49

2.8 Research Methodologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . 48

2.9 Summary of the Chapter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . 49

3 Security Using Hybrid Intrusion Detection System For Data Aggregation 52

3.1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

3.1.1 Motivation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

3.1.2 Contribution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

3.2 Background. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

3.3 Problem Identification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57

3.4 Summary of the chapter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

4 Enhanced Comb Needle Model For Data Aggregation 72

4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72

4.2 Proposed Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77

4.3 Summary of the chapter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

5 Implementing Data Aggregation Using Enhanced Comb Needle Model 89

5.1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89

5.5 Performance Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98

5.6 Summary of the chapter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102

6 Conclusion and Future Enhancement 122

6.1 Conclusion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

6.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124

List of Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Appendix I: Published Papers and Certificates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

List of Figures

Figure No Description Page No.

1.1 Typical Architecture of WSN 2

1.2 Virtual Description of WSN 5

1.3 Clustering in WSN 10

1.4 Types of WSN attacks 15

1.5 Architecture of Intrusion Detection System 17

1.6 Diagrammatic representation for WSN application 25

1.7 Healthcare applications in WSN 29

3.1 Proposed architecture of Hybrid IDS 58

3.2 Packet transmissions between sources to destination 62

3.3 Packet transmissions from CH to the Base station 63

3.4 Packet drop on transmission 63

3.5 Packet delivery ratio graph 64

3.6 Delay Graphs 65

3.7 Network lifetime graph 66

3.8 Energy Consumption graph 67

3.9 Accuracy graph 68

3.10 Throughput graph 69

3.11 Network traffic graph 70

4.1 WSN communication architecture 73

4.2 Proposed architecture of enhanced comb needle model 77

4.3 Comb Needle Model 78

4.4 Cooperative algorithm approaches 80

4.5 Comparison of Throughput graph 83

4.6 Network Lifetime graph 84

4.7 Energy Consumption graph 85

4.8 Packet Delivery Ratio graph 86

4.9 Node formation 86

4.10 Network Broadcast 87

5.1 WSN communication architecture 90

5.2 Proposed Work Flow of Data aggregation 96

5.3 Comb Needle Model 98

5.4 Energy Consumption 99

5.5 Detection time 100

5.6 Malicious node detection efficiency 101

5.7 Network lifetime 102

6.1 Aggregation of data in WSN 105

6.2 Proposed System architecture of Hybrid Data Dissemination model 112

6.3 Packet Delivery Ratio 116

6.4 Throughput 117

6.5 Packet Delay 118

6.6 Energy consumption 119

6.7 Communication Cost 120

List of Tables

Table No Description Page

No.

2.1 Security Based Approaches and Limitations in WSN 35

2.2 Energy Concern Based Approaches and Limitations in WSN 38

2.3 Fault Detection and Recovery Based Approaches and Limitations in WSN 42

2.4 Clustering Based Approaches and Limitations in WSN 45

2.5 Data Aggregation Concern Based Approaches and Limitations in WSN 48

2.6 Compressive Sensing Based Approaches and Limitations in WSN 51

3.1 Packet Delivery calculation for existing IDS and proposed HIDS 64

3.2 Packet Delay calculation for existing IDS and proposed HIDS 65

3.3 Network Lifetime calculation for existing IDS and proposed HIDS 66

3.4 Energy Consumption calculation for existing IDS and proposed HIDS 67

3.5 Accuracy calculation for existing IDS and proposed HIDS 68

3.6 Throughput calculation for existing IDS and proposed HIDS 69

3.7 Network traffic calculation for existing IDS and proposed HIDS 70

3.8 Performance analysis of existing method and proposed method 71

4.1 Throughput Comparison for existing and proposed 82

4.2 Network lifetime calculation for existing and proposed methods 83

4.3 Energy consumption calculation for existing and proposed methods 84

4.4 Packet Delivery ratio calculation for existing and proposed methods 85

4.5 Performance analysis of existing and proposed models 87

5.1 Energy Consumption for existing method and proposed method 99

5.2 Detection Time for existing method and proposed method 100

5.3 Malicious Node Detection for existing method and proposed method 101

5.4 Network Lifetime for existing method and proposed method 102

5.5 Performance analysis of existing and proposed system 102

6.1 Packet delivery ratio between existing Simple Random Basic Comb Needle

model and Proposed Hybrid Data Dissemination with Enhanced Comb

Needle model

116

6.2 Throughput between existing Simple Random Basic Comb Needle model and

Proposed Hybrid Data Dissemination with Enhanced Comb Needle model

117

6.3 Packet Delay between existing Simple Random Basic Comb Needle model

and Proposed Hybrid Data Dissemination with Enhanced Comb Needle

model

118

6.4 Energy consumption between existing Simple Random Basic Comb Needle

model and Proposed Hybrid Data Dissemination with Enhanced Comb

Needle model

119

6.5 Packet Loss between existing Simple Random Basic Comb Needle model and

Proposed Hybrid Data Dissemination with Enhanced Comb Needle model

120

6.6 Compare the basic model of comb needle in Simple network and proposed

Hybrid data dissemination model with enhanced comb needle model based on

cluster

121

List of Abbreviations

Abbreviation Explanation

IDS Intrusion Detection System

HIDS Hybrid Intrusion Detection System

HNIDS Hybrid Network-based Intrusion Detection System

LEACH Low-energy adaptive clustering hierarchy

VRLEACH Variable Round Low Energy Adaptive Clustering Hierarchy

EERFTDA Energy Efficient Routing and Fault Tolerant Data Aggregation

DRINA Data Routing for In-Network Aggregation

REAC-IN REAC-IN Regional Energy Aware Clustering with Isolated Nodes

HEED Hybrid Energy Efficient Distributed Clustering

EHDAM Energy mindful Hybrid Data Aggregation Mechanism

AP Aggregation Point

CH Cluster Head

BS Base Station

MN Member nodes

PSR Packets Send Ratio

PDR Packet Delivery Ratio

MAC Message Authentication Code

WMSN Wireless Medical sensor Networks

HCWSN Health Care Wireless Medical sensor Networks

CDA Compressive Data Aggregation

BCNM Basic Comb Needle Model

ECNM Enhanced Comb Needle Model

SR BCN Simple Random Basic Comb Needle model

HDD ECN Hybrid Data Dissemination with Enhanced Comb Needle model

PPS Packets per second

ABSTRACT

Wireless sensor networks (WSN) usage have been growing rapidly on all the areas to

monitoring and controlling from past few years to now a days. The information discovery and

data aggregation is applied in various applications in wireless sensor networks. To support

query processing based on the gathered information, an efficient and reliable information

discovery mechanism is proposed for sensor networks. This research extends the basic Comb-

Needle Discovery Support Model by including Cluster-based data aggregation mechanism,

which helps minimize the communication cost. Cluster-based approach groups the sensor

nodes in the sensor network. Each node of a group will send information to its Cluster Head,

which then aggregates and forwards the information to the base station (Sink).

In the Comb-Needle Model, every time when an event happens, all the sensor nodes

present on the comb takes part in transmitting the response to the base station. Each and every

cluster has a Cluster Head (CH). All the nodes in a cluster will send their sensed information

on their CH. Then the CH processes the data and forwards it towards to the moving sink.

Results in high communication cost, which reduces nodes’ energy and network life time. To

reduce the communication cost, cluster-based approach is used for data gathering and then data

get aggregate before forwarding to the base station. We proposed a new cooperative method of

energy consumption is decreased considerably and also network lifetime increased. No

efficient security mechanism for detecting and eliminating Intrusions in data aggregation.

This research concentrates on resolving the existing issues of the compressing

sensing techniques and proposes energy efficient and effectively secured data aggregation in

the enhanced cluster based Comb-needle model. It compare the performance of proposed

Energy efficient & effective secured data aggregation in enhanced Cluster-based Comb-Needle

Model with the basic Comb-Needle Model using the parameters, namely, energy consumption,

compressive sensing and communication cost. Planning to apply cluster based approach in

various applications in WSN.

The application that uses WSN, the sensor nodes are cooperating with physical

atmosphere to gather the information. Node that has been affected by attack makes them

helpless against safety. The WSN constrains are memory, vitality and availability after

positioning that make use of existing security techniques infeasible. They are lot of

recommendation for IDS in WSN; these are not enough, as they just concentrate on a part for

IDS. Our commitment of this research is to collaborate some techniques and then form a latest

Intrusion Detection System, in view of the above method.

In proposed method, it evaluates about the cluster based comb-needle model to

identify the energy efficient data aggregation in wireless sensor networks. It includes the

compressive sensing method in the enhanced comb- needle model to obtain the higher

compressive ratio, energy consumption and data transmission. Additionally, Hybrid data

dissemination model is included in this proposed system, to eliminate hotspot issues in inter

and intra block regions in the wireless sensor network. By using the efficient clustering

algorithm, it can classify the region or blocks in the wireless sensor networks. By evaluating

performance of comb needle model, it estimates the energy consumption and data aggregation.

The main focus of the military unit used to gather the event data by employing the pull

based data query in the networks. To further develop this model, we include certain techniques

is adopted in proposed model. The sensor nodes in the comb- needle model push their

information along with the nearby nodes detail and the query is disturbed to those nodes based

on the fixed space lines of the network. Therefore, the query procedure is normally based on

the dynamical nature. It develops a comb- needle routing structure and then construct the

needle-like data duplication structure that organizes a conceivable view of combining for

needles in a haystack. In this part, it will formulate the heuristics on both the node energy and

block energy and improve the needle-like push process for effective data diffusion by obviating

hotspots.

PART B - thesis template

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body of the Thesis shall be in the same style as that used in the rest of the Thesis and shall be

placed after the Certificate page. The Abstract shall reflect the contents of the Thesis

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At the end of the Thesis, reprint of ONE article published in refereed journal or acceptance

letters with manuscripts, and TWO research papers presented in conferences/seminars along

with certificates from the organisers be enclosed.

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Five bound copies of the Thesis along with the electronic version of Thesis in CD in .pdf

Form must be submitted and the candidate is advised to keep one bound copy of the

Thesis and the electronic version in CD in .pdf form.

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Type size should be 11 point or larger. Script or ornamental fonts shall not be used. Print

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crooked text.

Chapter 1

Introduction

Wireless sensor networks (WSN) usage has been growing rapidly in all the areas for

monitoring and controlling from the past few years to now a days. These WNS are of may be

very huge of size network systems included minimum sized, minimum power usage, low price

sensor devices that gather complete data about the real world environment. All the devices

contain sensors, one or more processor(s), minimum power usage transmitter(s) and all these

are operated by battery. Analyzing every device independently might the power usage appear

to have minimum usage.

The utility of Sensor networks be that as it may, lies in utilizing and organizing a huge

number of those devices and authorizes the execution of huge size sensing jobs. In the normal

situation, these types of sensor networks are located in regional areas of notice (for example,

unreachable territory regions or difficulty site regions) for most excellent observing in different

types of applications. The openness and self-organization, fault tolerance, excellent sensing

capability, minimum price, and fast installation features of wireless sensor networks make

numerous later and energizing application regions for sensing remotely. In future days, the

massive usage of these types of application regions will build sensor networks a necessary

section of day to day life [1].

The rapid developments in WSN transmission of data, sensor technology, and

associated embedded technology processing have advanced the publication and growth.

Wireless Sensor Networks include a huge number of minimal price small scale sensor nodes

positioned in the checking region, which is a more mix of self-organizing network framework

composed and shaped by wireless transmission strategy. Those sensor devices are sense the

information, gather the information, and the data communicate cooperatively which is sensed

by sensors in the network distributed region and then transferred the results to its users [2].

Chapter 2

Literature Survey
























Chapter 3

Title
























Chapter 4

Title
























Chapter 5

Title
























Chapter 6

Title
























Chapter 7

Conclusion and Future work
























References

1. Andreas A. Strikos, “A full approach for Intrusion Detection in Wireless Sensor

Networks”, March 1, 2007

2. Jyoti Saraswat, Neha Rathi & Partha Pratim Bhattacharya, “Techniques to Enhance

Lifetime of Wireless Sensor Networks: A Survey”, 2012 Global Journals Inc

3. Murad A. Rassam, M.A. Maarof and Anazida Zainal, “A Survey of Intrusion Detection

Schemes in Wireless Sensor Networks”, 2012 American Journal of Applied Sciences 9

(10): 1636-1652, 2012 ISSN 1546-9239.

4. Hiren Patel, Vipul Shah, “A Review on Energy consumption and conservation

techniques for Sensor node in WSN”, International conference on Signal Processing,

Communication, Power and Embedded System (SCOPES)-2016

5. Shreshtha Misra, Rakesh Kumar, “A Literature Survey on Various Clustering

Approaches in Wireless Sensor Network”, 2016 IEEE.

6. Jia Guo, Jian'an Fang, Xuemin Chen, “Survey on Secure Data Aggregation for Wireless

Sensor Networks”, 978-1-4577-0574-8/111$26.00 ©2011 IEEE

7. Michael Winkler, Klaus-Dieter Tuchs, Kester Hughes, and Graeme Barclay,

“Theoretical and practical aspects of military wireless sensor networks”, 2008.

8. Shama Siddiqui, Anwar Ahmed Khan, Sayeed Ghani, “A Survey on Data Aggregation

Mechanisms in Wireless Sensor Networks” 2015.

9. Mar´ıa de los A´ ngeles Cosio Leo´n,, Jes´us Luna Garc´ıa, “A Security and Privacy

Survey for WSN in e-Health Applications”, 2009 Electronics, Robotics and

Automotive Mechanics Conference.

.

.

.

.

Order and Content • Main cover page.

• Title page

• Declaration/Certificate page - containing the signature of the candidate, guide, co-

guide, if any, and Director of the School.

• Certificate that the thesis has been revised and resubmitted based on suggestions by

examiners, if applicable, signed by the candidate, guide, co-guide, if any, and Director

of the School.

• Plagiarism Verification Certificate

• Preface and/or Acknowledgement

• Table of contents with page references

• List of tables with titles and page references

• List of illustrations with titles and page references.

• List of Abbreviations.

• Abstract

• Text – Chapter wise

o Chapter - I

o Chapter - II

o Chapter - III

o Chapters – IV

o Chapter – V

• References

• List of Publications

• Appendices, if any

• Bibliography or list of references, if any

ENERGY EFFICIENT AND EFFECTIVELY SECURED DATA …€¦ · 1.2 Virtual Description of WSN 5 1.3...

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