Written and edited by a team of experts in the field, this exciting new volumes provides a comprehensive exploration of cutting-edge technologies and trends in managing resources in advanced wireless networks.
Table of ContentsPreface
1. Introduction to Next Generation Networks 5G and BeyondB. Vidhya, H. Harshene and N. Abimathi
1.1 Introduction
1.1.1 Benefits of 5G Networks
1.2 5G Evolution
1.2.1 1G-Analog Cellular Networks
1.2.2 2G - Digital Mobile Networks
1.2.3 3G-High-Speed Data Networks
1.2.4 4G Expansion of Mobile Broadband
1.2.5 5G—Design Innovation
1.3 5G - Exclusiveness
1.4 Challenges of Networks
1.5 What Will 5G Accomplish?
1.6 Progressing Societies
1.7 Transforming Industries
1.8 The Invention of 5G
1.8.1 Technologies of 5G
1.8.2 Misinterpretations of 3GPP –Addressed
1.8.3 3GPP’S Real-Time Progress Indicator
1.9 Role of 5G
1.9.1 Impact on an Individual
1.9.2 Impact on Industries
1.10 Is a New Phone Required for 5G?
1.11 Summary
Bibliography
2. Architecture and Future Trends on Next Generation NetworksM. Saravanan, J. Ajayan, Eswaran Parthasarathy and V. Ramkumar
2.1 Introduction
2.2 Topology Characterisitics
2.2.1 Network Structure
2.2.2 Modeling Network Layers
2.2.3 Research Topology Challenges
2.3 Current Network Topologies
2.3.1 Bus Topology
2.3.2 Ring Topology
2.3.3 Star Topology
2.3.4 Mesh Topology
2.4 Trends of Modern Networks
2.4.1 Network Link and Collabration
2.4.2 Disruptive Technologies
2.5 Architecture of Next Generation Networks
2.5.1 Functionality of NGN Network
2.5.2 Transport Control and Management
2.5.3 Service Control Management
2.6 Challenges in Network Structure
2.6.1 Implementing Dynamic Topologies
2.6.2 Management Questions
2.6.3 Consideration of Traffic Control
2.6.4 Cost Management System
2.6.5 Web Service Management
2.7 Network Analysis and Routing Protocols
2.7.1 Destination Sequenced Distance Vector Protocol
2.7.2 Dynamic Source Routing
2.7.3 AdHoc on Demand Distance Vector Routing
2.8 Evolution of Networks and Services Towards NGN
2.8.1 Significant Stages in Network and Services
2.8.2 Network Convergence and Development
2.8.3 IP Base Network Management System
2.8.4 Service Extension and Network Integration
2.9 Advanced Network and Service Management Technologies
2.9.1 Technology of Artificial Intelligence
2.9.2 Smart Agent Technology
2.10 Conclusion
References
3. Evolution of Next Generation Networks and Its ContributionnTowards Industry 5.0Kiruthiga Devi M. and Padma Priya M.
3.1 Introduction
3.2 Networks of 4G
3.3 5G and its Vision
3.3.1 Requirements for 5G
3.3.2 Network Architecture
3.3.3 Economic Contributions and Networks Intelligent Automation of 5G
3.3.3.1 Internet of Things (IoT): Artificial Intelligent Plus 5Generation is a Smart IoT
3.3.3.2 Autonomous Vehicles, Smart Cars
3.3.3.3 Manufacturing Sector and Smart Factory
3.3.3.4 Healthcare Industry
3.3.3.5 Smart Grids and Cities
3.4 A Vision and a Need for 6G Communications
3.4.1 Development Projects
3.4.2 System Architecture of 6G
3.4.3 Satellite Network of 6G
3.5 Emerging of 7G
Findings
3.6 Conclusions
References
4. Understanding the Salient Features Related To Resource Management in Broadband Wireless NetworksRamkumar Jayaraman, Devandar Rao, Manoj Kumar and Ashutosh Mishra
4.1 Introduction
4.1.1 Network Topology Related to Wireless Networks
4.1.2 Challenges in Wireless Broadband Network
4.1.3 Radio Channel
4.1.4 Scarcity in the Spectrum Utilization
4.1.5 Quality of Service (QoS)
4.1.6 OFDM with WiMAX Technology
4.1.7 Advanced Modulation and Coding Techniques in WiMAX
4.1.8 Conclusion
References
5. Network Routing and Its Real-Time Practice in Broadband Wireless NetworksR. Prabha, G.A. Senthil, S. K. B. Sangeetha, S.U. Suganthi and D. Roopa
5.1 Introduction
5.2 Outline of Broadband Wireless Networking
5.2.1 Type of Broadband Wireless Networks
5.2.1.1 Fixed Networks
5.2.1.2 WiMAX
5.2.1.3 The Broadband Mobile Wireless Networks
5.2.2 BWN Network Structure
5.2.3 Wireless Broadband Applications
5.2.3.1 Digital Telephone
5.2.3.2 Broadband Data Connections
5.2.3.3 Digital Television
5.2.4 Promising Approaches Beyond BWN
5.3 Routing Mechanisms
5.3.1 Distance Vector (DV)
5.3.2 Link State (LS)
5.4 Security Issues and Mechanisms in BWN
5.4.1 DoS Attack
5.4.2 Distributed Flooding DoS
5.4.3 Rogue and Selfish Backbone Devices
5.4.4 Authorization Flooding on Backbone Devices
5.4.5 Node Deprivation Attack
5.5 Conclusion
References
6. Routing Mechanism in Broadband Wireless NetworkT. Rajendran, B. Yamini, K.E. Narayana and K. Pradeep Mohan Kumar
6.1 Classification of BWN Routing Protocols
6.1.1 Routing
6.1.2 Routing-Protocols
6.1.2.1 Types of Routing Protocols for Broadband Wireless Network
6.2 Routing Mechanism in WiMAX Mesh Network
6.2.1 Routing Protocols - IEEE 802.16 Mesh Network
6.2.2 Architecture of WiMAX Protocol
6.3 Routing Mechanism in Mobile Networks
6.3.1 4G Mobile Network
6.3.2 5G Mobile Network
6.3.3 Convergence Communication Issue
6.3.4 Multi-Hop Dynamic Routing Issue
6.4 Service Specific Routing Protocols
6.4.1 Protocols Based on Topology and Position
6.4.2 Protocols Based on Proactive and Reactive Nature
6.4.3 Protocols Based on Distance Vector and Link State Routing
6.4.4 Protocols Based on Hop-by-Hop Routing and Source Routing
6.4.5 Protocols Based on Flat and Hierarchical Infrastructure
6.4.6 Protocols Based on Single-Path and Multipath
6.5 Novel Approaches and Algorithms on Broadband Routing
6.5.1 Approaches for efficient Performance in Broadband Routing
6.5.2 Algorithms for Broadband Routing
6.6 Conclusion
References
7. Interference Problem in 5G with Radio Access NetworkS. T. Deepa and Vinitha Kumari
7.1 Introduction
7.1.1 Interface Management
7.1.2 Management of Conflict in Agile RM Framework
7.1.2.1 A Holistic View of Technology
7.1.3 Ratings and Context Information
7.1.4 Dynamic Traffic Steering
7.1.4.1 Reduced-Overhead Interference Mitigation
7.1.5 Reducing Overhead Interference Mitigation
7.1.5.1 RIM and 5G NR
7.1.5.2 Contributions and Differences
7.1.5.3 Methods for RIM in 5NR
7.1.6 High-Level 5NR – RIM Framework
7.1.7 OS RIM-RS
7.1.7.1 OS RIM-RS
7.1.8 Radio-Access Network
7.1.9 Improve RAN Coverage
7.1.9.1 Improving RAN Coverage Can Take Many Forms
7.1.10 Related Work
7.1.11 Conclusion
References
8. Interference Techniques Based on Deep Learning in Wireless NetworksS. Arunprasath, A. Suresh and Jayden Khakurel
8.1 Introduction
8.2 Literature Review
8.3 Suppression Techniques
8.3.1 Deep Learning Based Approach
8.3.2 Adjacent Channel Interference (ACI)
8.3.3 Co-Channel Interference
8.3.4 Self-Interference
8.3.5 Homogeneous Technology Interference
8.3.6 Heterogeneous Technology Interference
8.4 Classification of Interference Suppression Techniques
8.5 A Blind Approach of Interference Cancellation Using Neural Networks
8.6 Interference Estimation
8.6.1 Feature Extraction
8.6.2 Channel Usage Ratio
8.7 Machine Learning Model-Decision Tree
8.8 Lookup Table
8.9 Conclusion
References
9. Implementing SDN Process-Based MRMC Wireless NetworksS. Jayasri and R. Parameswari
9.1 Multi-Radio Multi Channel Network in Wireless Network
9.1.1 The Concept of QoS inWN
9.2 QoS Challenges in MRMC Based Wireless Networks
9.2.1 Bandwidth Limitation
9.2.2 Removalo Fredundancy
9.2.3 Energy and Delay Trade-Off
9.2.4 Buffer Size Limitation
9.3 Opportunistic Routing
9.4 The Need for Software-Defined Network in WSN for Enhancing QoS
9.4.1 QoS Management
9.5 ILP Problem Design
9.5.1 Network Model
9.5.2 Interference Model
9.5.3 VL Request Design
9.6 Problem Constraints
9.6.1 Genetic Algorithm
9.6.2 Balanced Source Distribution with DL Cost
9.7 Virtual Network Embedding
9.7.1 Specification of Virtual Network Embedding
9.7.2 System Model
9.7.3 Open Flow Enabled Network
9.7.4 Network Model
9.7.5 Interference Model
9.8 Algorithm on Interference Modeling and Channel Selection Process
9.8.1 Interference Aware Routing Algorithm
9.8.2 Channel Assignment Algorithm
9.8.3 The MCM Algorithm
9.9 Performance Evaluation
9.9.1 Network Model
9.9.2 Load Design Algorithm
9.9.3 Simulation Settings
9.9.4 Performance Metrics
9.10 Performance Results
9.10.1 Handling with WL Intervention
9.10.2 Evaluating the Multicast Gain
9.10.3 Clique Utilization Balancing
9.10.4 Analysis of Switch Resource Consumption
9.10.5 Embedding Method Selection: Integer Linear Programming Vs Genetic Algorithm
9.11 Conclusion
References
10. Advanced Wireless Mobile Network on Financial LiteracyR. Muthu Lakshmi and A. Maria Bharathi
10.1 Introduction
10.2 Statement of the Problem
10.3 Objectives of the Study
10.4 Hypothesis
10.5 Sampling Design
10.6 Literature Review
10.7 Methodology
10.8 Measurement of Financial Literacy
10.9 Elements of Financial Literacy
10.10 Financial Literacy Among Scheduled Community
10.11 Age Wise Status of Financial Literacy
10.12 Financial Literacy Among Scheduled Communities of Different Age Group – ANOVA
10.12.1 Null Hypothesis
10.13 Financial Literacy and its Relationship with Gender
10.13.1 Null Hypothesis
10.14 Financial Literacy and its Relationship with Marital Status
10.14.1 Null Hypothesis
10.15 Financial Literacy and its Relationship with Religion
10.15.1 Null Hypothesis
10.16 Financial Literacy Among Scheduled Communities of Different Educational Qualification – ANOVA
10.16.1 Null Hypothesis
10.17 Occupation Wise Status of Financial Literacy
10.18 Financial Literacy Among Scheduled Communities of Different Occupation ANOVA
10.18.1 Null Hypothesis
10.19 Monthly Income Wise Status of Financial Literacy
10.20 Financial Literacy Among Scheduled Communities of Different Monthly Income - ANOVA
10.20.1 Null Hypothesis
10.21 Conclusion
10.22 Bibliography
11. Advanced 5G Technology in Healthcare FieldR. Delshi Howsalya Devi, R. Naresh and C.N.S. Vinoth Kumar
11.1 Introduction
11.2 Objectives
11.3 Our Contribution
11.3.1 Patient Health Monitoring Using 5G
11.3.2 Continuous Monitoring of Chronic Diseases Using 5G
11.3.3 Management of Preventing Infectious Diseases Using 5G
11.3.4 Robotic Surgery Using 5G
11.3.5 5G and the Future of Wearables
11.3.5.1 Internet of Things in 5G Communications
11.3.5.2 5G and Business IoT
11.4 Challenges Facing Wearable Technology
11.5 Benefits of 5G
11.6 Next Generation of Healthcare with the IoMT and 5G
11.6.1 IoMT in the Hospital
11.6.2 IoMT at Home
11.6.3 IoMT and 5G Innovations
Conclusion
References
12. Cloud Assisted Data Storage in e-Healthcare SystemA. Sathya and S. Kanaga Suba Raja
12.1 Introduction
12.1.1 Our Contribution
12.2 Related Works
12.3 Research Methodology
12.3.1 EPP Attribute Classification and Storage
12.4 Results and Discussion
12.4.1 Data Collection
12.4.2 Experimental Setup
12.4.3 Proposed Results
12.5 Conclusion
References
13. Challenges in 5G Building Sustainable Networks and Its OpportunitiesSharanya S.
13.1 Introduction to 5G Technologies
13.2 Review on Environmental Impacts of 5G
13.3 Health Impacts of 5G Technology
13.4 State of Art in Green 5G
13.5 Deploying Technologies To Achieve Green 5G
13.6 Conclusion
References
14. Enhanced Human Growth Through Technical Financial LiteracyR. Muthu Lakshmi and A. Maria Bharathi
14.1 Introduction
14.2 Statement of the Problem
14.3 Objectives of the Study
14.4 Review of Literature
14.5 Sampling Design
14.6 Methodology
14.7 Financial Literacy Among Scheduled Community
14.8 Financial Literacy on Investments
14.9 Financial Literacy on Borrowings
14.10 Financial Literacy on Debt Management
14.11 Financial Literacy on Debit and Credit Cards
14.12 Financial Literacy on Capital Market
14.13 Financial Literacy on Insurance
14.14 Financial Literacy on Postal Services
14.15 Financial Literacy on other Financial Services
14.16 Conclusion
14.17 Bibliography
14.17.1 Books
14.17.2 Journals
About the Editors
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