Muutke küpsiste eelistusi

E-raamat: Energy Optimization Protocol Design for Sensor Networks in IoT Domains [Taylor & Francis e-raamat]

(Department of Information Technology, Government College of Engineering, Karad, India), (Dr D Y Patil Institute of Engineering Management and Research, Akurdi, Pune), (PC College of Eng., Pune, India)
  • Formaat: 225 pages, 11 Tables, black and white; 118 Line drawings, black and white; 13 Halftones, black and white; 131 Illustrations, black and white
  • Ilmumisaeg: 07-Oct-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003310549
  • Taylor & Francis e-raamat
  • Hind: 170,80 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 244,00 €
  • Säästad 30%
  • Formaat: 225 pages, 11 Tables, black and white; 118 Line drawings, black and white; 13 Halftones, black and white; 131 Illustrations, black and white
  • Ilmumisaeg: 07-Oct-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003310549
This book provides an essential overview of IoT, energy-efficient topology control protocols, motivation, and challenges for topology control for Wireless Sensor Networks, and the scope of the research in the domain of IoT. Further, it discusses the different design issues of topology control and energy models for IoT applications, different types of simulators with their advantages and disadvantages. It also discusses extensive simulation results and comparative analysis for various algorithms. The key point of this book is to present a solution to minimize energy and extend the lifetime of IoT networks using optimization methods to improve the performance.

Features:











Describes various facets necessary for energy optimization in IoT domain.





Covers all aspects to achieve energy optimization using latest technologies and algorithms, in wireless sensor networks.





Presents various IoT and Topology Control Methods and protocols, various network models, and model simulation using MATLAB®.





Reviews methods and results of optimization with Simulation Hardware architecture leading to prolonged life of IoT networks.





First time introduces bio-inspired algorithms in the IoT domain for performance optimization

This book aims at Graduate Students, Researchers in Information Technology, Computer Science and Engineering, Electronics and Communication Engineering.
Preface xi
Author's Biography xiii
Abbreviations xv
Chapter 1 Introduction and Background Study
1(18)
1.1 IoTandWSN
1(7)
1.1.1 Overview of WSN
1(1)
1.1.2 How Does WSN Works?
2(5)
1.1.3 Security Issues in WSN
7(1)
1.2 IoT and Sensor Network Applications
8(1)
1.2.1 Wide Space Applications
8(1)
1.2.2 Small Space Application
9(1)
1.3 OSI and IoT Layer Stack
9(2)
1.3.1 Physical or Sensor Layer
10(1)
1.3.2 Processing and Control Layer
10(1)
1.3.3 Hardware Interface Layer
11(1)
1.3.4 RF Layer
11(1)
1.3.5 Session/Message Layer
11(1)
1.3.6 User Experience Layer
11(1)
1.3.7 Application Layer
11(1)
1.4 Protocols in WSN and IoT
11(3)
1.4.1 Routing Protocol for Low-Power and Lossy Networks
12(1)
1.4.2 Cognitive RPL
12(1)
1.4.3 Lightweight On-Demand AD hoc Distance Vector Routing - Next Generation (LOADng)
12(1)
1.4.4 Collection Tree Protocol
13(1)
1.4.5 Channel-Aware Routing Protocol
13(1)
1.4.6 E-CARP
14(1)
1.5 Energy Consumption and Network Topology
14(1)
1.6 Challenges for Energy Consumption in IoT Networks
14(2)
1.6.1 Energy Consumption
15(1)
1.6.2 Combination of IoT with Subsystems
15(1)
1.6.3 User Privacy
15(1)
1.6.4 Safety Challenge
15(1)
1.6.5 IoT Standards
16(1)
1.6.6 Architecture Design
16(1)
1.7 Summary
16(3)
References
17(2)
Chapter 2 IoT and Topology Control: Methods and Protocol
19(50)
2.1 Sensor Network Topologies
19(2)
2.1.1 Star Network (Single Point-to-Multipoint)
19(1)
2.1.2 Mesh Network Topology
20(1)
2.1.3 Hybrid-Star-Mesh Network Topology
20(1)
2.2 IoT and Topology Control Methods
21(20)
2.2.1 Powder Adjustment Approach
23(3)
2.2.2 Powder Mode Approach
26(5)
2.2.3 Clustering Approach
31(5)
2.2.4 Hybrid Approach
36(5)
2.3 Comparative Analysis: Topology Control Methods
41(12)
2.3.1 Evaluations Based on the Network Lifetime Definitions
44(3)
2.3.2 Evaluations Based on the Network Lifetime Definitions
47(2)
2.3.3 Evaluations Based on the Network Lifetime Definitions
49(2)
2.3.4 Evaluations Based on the Network Lifetime Definitions
51(2)
2.4 IoT and Topology Control Protocols
53(2)
2.4.1 Link Efficiency-Based Topology Control
53(1)
2.4.2 Improved Reliable and Energy Efficient Topology Control
54(1)
2.4.3 Cellular Automata-Based Topology Control
54(1)
2.4.4 Heterogeneous Topology Control Algorithm (HTC)
54(1)
2.5 IoT and Routing Protocols
55(5)
2.5.1 Routing Protocol for Low-Power and Lossy Networks (RPL)
55(4)
2.5.2 Cognitive RPL (CORP)
59(1)
2.5.3 Channel-Aware Routing Protocol (CARP)
60(1)
2.6 Future Research Direction: Context-Aware Routing in IoT Networks
60(4)
2.6.1 Routing in IoT
60(1)
2.6.2 Need of Context-Awareness in IoT Routing
61(1)
2.6.3 Context Needed for Routing
61(3)
2.7 Summary
64(5)
References
64(5)
Chapter 3 Design Issues, Models, and Simulation Platforms
69(24)
3.1 Topology Control Design Issues
69(7)
3.1.1 Taxonomy of Topology Issues
70(1)
3.1.2 Topology Awareness Problem
71(2)
3.1.3 Topology Control Problem
73(3)
3.2 Network Models
76(3)
3.2.1 Homogeneous Model
76(1)
3.2.2 Wireless Propagation Model
77(1)
3.2.3 Model of Long-Distance Path
77(1)
3.2.4 Hop Model
78(1)
3.2.5 Energy Model
78(1)
3.3 Simulation Platforms
79(2)
3.3.1 OMNeT++
79(1)
3.3.2 NS2
80(1)
3.4 Simulation Using MATLAB for IoT Domain
81(1)
3.4.1 The MATLAB System
81(1)
3.4.2 MATLAB for IoT Domain
82(1)
3.5 Future Research Direction: Heterogeneity of Network Technologies
82(6)
3.5.1 Sensing Layer
83(1)
3.5.2 Network Layer
84(1)
3.5.3 Cloud Computing
84(1)
3.5.4 Application Layer
84(1)
3.5.5 Smart Industrial
85(1)
3.5.6 Smart Agricultural
86(1)
3.5.7 Smart Home
86(1)
3.5.8 Intelligent Transportation System
87(1)
3.5.9 Smart Healthcare
87(1)
3.6 Summary
88(5)
References
88(5)
Chapter 4 Link Efficiency-Based Topology Control Algorithm for IoT Domain Application
93(28)
4.1 Introduction
93(1)
4.1.1 Received Signal Strength Indicator
93(1)
4.1.2 Limitation of RSSI
94(1)
4.2 Network Model
94(2)
4.2.1 Definitions
95(1)
4.2.2 Assumptions
96(1)
4.3 Improved Link Efficiency-Based Topology Control Algorithm
96(3)
4.3.1 Proposed Algorithm: LEBTC
97(1)
4.3.2 Mathematical Model
98(1)
4.3.3 Flow Diagram
99(1)
4.4 Implementations
99(11)
4.4.1 RNG-Relative Neighborhood Graph
99(1)
4.4.2 GG - Gabriel Graph
99(1)
4.4.3 FETC and FETCD
99(11)
4.5 Future Research Direction: Gateway Placement and Energy-Efficient Scheduling in IoT
110(8)
4.5.1 Overview
110(5)
4.5.2 Placement of Gateways
115(1)
4.5.3 Task Model
116(1)
4.5.4 Energy Consumption Model
116(1)
4.5.5 Energy-Efficient Scheduling Algorithms
116(2)
4.6 Summary
118(3)
References
119(2)
Chapter 5 Energy-Efficient Topology Control Algorithms for IoT Domain Applications
121(16)
5.1 Introduction
121(4)
5.1.1 Connected Dominating Set
121(4)
5.1.2 Clustering Mechanisms
125(1)
5.2 Network Model
125(1)
5.3 Energy-Efficient Algorithm Based on Connected Dominating Set
126(3)
5.3.1 Proposed Algorithm: iPOLY
127(1)
5.3.2 Mathematical Model
127(2)
5.3.3 Flow Diagrams
129(1)
5.4 Implementations: POLY and iPOLY
129(1)
5.5 Future Research Direction: IoT Reliability
130(4)
5.5.1 Device Reliability
130(3)
5.5.2 Network Reliability
133(1)
5.5.3 System Reliability
133(1)
5.5.4 Anomaly Detection
134(1)
5.6 Summary
134(3)
References
134(3)
Chapter 6 Cellular Automata-Based Topology Control Algorithms for IoT Domain Applications
137(18)
6.1 Introduction
137(3)
6.1.1 Cellular Automata for Sensor Networks
139(1)
6.1.2 Sensor Network Clustering
140(1)
6.2 Cellular Automata-Based Topology Control Algorithms
140(12)
6.2.1 Cellular Automata Weighted Margoles Neighborhood
140(1)
6.2.2 Cellular Automata Weighted Moor Neighborhood
141(2)
6.2.3 Cyclic Cellular Automata
143(9)
6.3 Future Research Direction: Cellular Automata for IoT Application
152(1)
6.4 Summary
153(2)
References
153(2)
Chapter 7 Performance Optimization in IoT Networks
155(26)
7.1 IoT Network Issues
155(5)
7.1.1 Fault Tolerance
155(1)
7.1.2 Security Enforcement
156(1)
7.1.3 Handling Heterogeneity
157(1)
7.1.4 Self-Configuration
158(1)
7.1.5 Unintended Interference
158(2)
7.1.6 Network Visibility
160(1)
7.1.7 Restricted Access
160(1)
7.2 Optimization Issues in IoT Networks
160(6)
7.2.1 Data Aggregation
162(1)
7.2.2 Routings in IoT Networks
163(1)
7.2.3 Optimal Coverage
164(1)
7.2.4 Sensor Localization
165(1)
7.3 Optimization Levels in IoT
166(5)
7.3.1 Device Level Optimizationn
167(1)
7.3.2 Network Level Optimization
168(2)
7.3.3 Application Level Optimization
170(1)
7.4 Solutions for IoT Network Optimization
171(7)
7.4.1 Network Routing
172(1)
7.4.2 Energy Conservation
172(2)
7.4.3 Congestion Control
174(1)
7.4.4 Heterogeneity
174(1)
7.4.5 Scalability
175(1)
7.4.6 Network Reliability
176(1)
7.4.7 Quality of Service
177(1)
7.5 Summary
178(3)
References
179(2)
Chapter 8 Bio-Inspired Computing and IoT Networks
181(24)
8.1 Bio-Inspired Approach
181(3)
8.1.1 Bio-Inspired Computing
181(1)
8.1.2 Bio-Inspired System
181(2)
8.1.3 Bio-Inspired Engineering
183(1)
8.2 Motivation for Bio-Inspired Computing
184(4)
8.2.1 Self-Organization
184(1)
8.2.2 Self-Adaptation
185(1)
8.2.3 Self-Healing Ability
186(2)
8.3 Bio-Inspired Computing Approaches for Optimizations
188(15)
8.3.1 Evolutionary Algorithms (EAs)
189(4)
8.3.2 Artificial Neural Networks (ANNs)
193(3)
8.3.3 Swarm Intelligence (SI)
196(2)
8.3.4 Firefly Algorithm (FA)
198(1)
8.3.5 Artificial Immune System (AIS)
199(2)
8.3.6 Epidemic Spreading (ES)
201(2)
8.4 Summary
203(2)
References
204(1)
Chapter 9 Blockchain and IoT Optimization
205(20)
9.1 Blockchain Technology and IoT
205(4)
9.1.1 Introduction to Blockchain
205(1)
9.1.2 Blockchain Terminology
205(1)
9.1.3 Blockchain Mechanism
206(2)
9.1.4 Distributed P2P Networking
208(1)
9.2 Blockchain Support for IoT Applications
209(5)
9.2.1 Securing IoT Networks
209(1)
9.2.2 Manufacturing Maintenance Support
210(2)
9.2.3 Transparency in Supply Chain
212(1)
9.2.4 In-Car Payment Model
212(1)
9.2.5 Vehicle Insurance Model
213(1)
9.2.6 Identity Authentication Using Self-Sovereign Identity (SSI)
213(1)
9.3 Blockchain with IoT Networks Characteristics
214(6)
9.3.1 Security
215(1)
9.3.2 Scalability
215(2)
9.3.3 Immutability and Auditing
217(1)
9.3.4 Effectiveness and Efficiency
217(2)
9.3.5 Traceability and Interoperability
219(1)
9.3.6 Quality of Service
220(1)
9.4 Energy Optimization and Blockchain Mechanism
220(2)
9.4.1 Optimization Process
221(1)
9.4.2 Resource Management Using Blockchain
221(1)
9.5 Energy Optimization in Blockchain-Enabled IoT Networks
222(1)
9.6 Summary
223(2)
References
223(2)
Index 225
Sanjeev J. Wagh, working as Professor and Head in Department of Information Technology at Govt. College of Engineering, Karad. He has completed his BE (1996), ME(2000) & Ph.D. (2009) in Computer Science & Engineering from Govt. College of Engineering, Pune & Nanded. He was a full-time Post Doctorate fellow at Center for TeleInfrastructure, Aalborg University, Denmark during 2013-14. He has also completed MBA (IT) from NIBM (2015), Chennai. He has a total of 24 years of experience in academics & research. His research interest areas are Natural Science Computing, Internet technologies & Wireless Sensor Networks, Data Sciences & Analytics. He has 100+ research papers to his credit, published in International /National Journals & conferences. 4 research scholars completed their Ph.D. under his supervision from Pune University. Currently, 3 research scholars are pursuing Ph.D. under his supervision in various Indian Universities. He is a fellow member of ISTE, IETE, and a member of IEEE, ACM & CSI. He is co-editor for International Journals in Engineering & Technology. He has visited Denmark (Aalborg University, Aalborg & Copenhagen) Sweden (Gothenburg University, Gothenburg), Germany (Hamburg University, Hamburg), Norway (University of Oslo), France (the University of London Institute in Paris), China (Shanghai Technology Innovation Center Shanghai, delegation visit), Thailand (Kasetsart University, Bangkok), Mauritius (University of Technology, Port Louis) for academic & research purpose and United Kingdom (London), Italy (Rome, Tuscany, Venice, and Vatican City), Belgium (Brussels), Austria (Innsbruck, Swarovski, Egerkingen ), Switzerland (Lausanne, Zurich, Leysin, Arezzo), Liechtenstein (Vaduz) for other purposes. He authored the book "Fundamentals of Data Science" Publication by CRC Press ( Taylor & Francis Group, US) and edited the book "Handbook of Research on Applied Intelligence for Health and Clinical Informatics" Publisher: IGI Global, USA.

Manisha Sunil Bhende working as an Associate Professor in Dr. D Y Patil Institute of Engineering Management and Research, Pune. She has completed BE(1998), ME(2007), and Ph.D. (2017) in Computer Engineering from the University of Pune and a bachelor's degree from Government College of Engineering, Amravati, India. Her research interests are IoT and Wireless Networks, Network Security, Cloud Computing, Data Science and Machine learning, Data analytics, etc. She has 39 research papers/book chapters in International, National conferences and Journals. She delivered an expert talk on various domains such as Wireless Communication, Wireless Sensor Networks, Data Science, Cyber Security, IoT, Embedded and Real-Time Operating systems, IPR and Innovation, etc. She has Published 4 Patents and 3 Copyrights Received on her credit. She is a reviewer/Examiner for a Ph.D. thesis and ME dissertations for state/National universities. She is associated with Ph.D. research centres. She is working as an Editor/reviewer for various national/International repute Journals and Conferences. She is the coordinator of IQAC, IPR Cell, IIP Cell, Research Cell at the institute level. She is working as Subject Chairman for various Computer Engineering subjects under Savitribai Phule Pune University (SPPU). She contributed to the SPPU syllabus Content designing and revision. She received the Regional young IT Professional award from CSI in 2006. She authored the book "Fundamentals of Data Science" Publication by CRC Press (Taylor & Francis Group, US) and edited the book "Handbook of Research on Applied Intelligence for Health and Clinical Informatics" Publisher: IGI Global, USA". She is a member of ISTE, ACM, CSI, IAENG, Internet Society, etc.

Anuradha D. Thakare received her Ph.D. in Computer Science and Engineering from SGB Amravati University, M.E. degree in Computer Engineering from Savitribai Phule Pune University, and BE degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati, India. He is working as a Professor in the Computer Engineering Department of Pimpri Chinchwad College of Engineering, Pune. Dr. Anuradha is Secretary of Institution of Engineering & Technology Pune LN, Member of IEEE and ACM. She is a Ph.D. guide in Computer Engineering at SPPU, Pune. She has been a General Chair of IEEE International Conference ICCUBEA 2018 and an Advisory member for International Conferences. She worked as a reviewer for the Journal of International Blood Research, IEEE transactions, and Scopus Journals. She is a reviewer and Examiner for Ph.D. defence for state/National universities.

She has published 78 research papers in reputed Conferences and Journals with indexing in Scopus, IEEE, Web of Science, Elsevier and Springer, etc. She received Research project grants and workshop grants from AICTE-AQIS, QIP-SPPU, BCUD-SPPU Pune, and Maharashtra State Commission for Women. She Received the Best Women Researcher Award and Best Faculty Award from International Forum on Science, Health & Engineering. She received the best paper award in International Conferences. Delivered 20 expert talks on Machine Learning, Evolutionary Algorithms, Outcome Based Education, etc. she worked with industries like DRDO, NCL, etc for research projects.

She is working as Subject Chairman for various Computer Engineering subjects under Savitribai Phule Pune University (SPPU). She contributed to the SPPU syllabus Content designing and revision. She authored the book "Fundamentals of Data Science" Publication by CRC Press ( Taylor & Francis Group, US) and edited the book "Handbook of Research on Applied Intelligence for Health and Clinical Informatics" Publisher: IGI Global, USA.