Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks Real-time Applications

Explores the intersection of sustainable growth, green computing and automation, and performance optimization of 5G wireless networks

Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks explores how wireless sensing applications, green computing, and Big Data analytics can increase the energy efficiency and environmental sustainability of real-time applications across areas such as healthcare, agriculture, construction, and manufacturing.

Bringing together an international team of expert contributors, this authoritative volume highlights the limitations of conventional technologies and provides methodologies and approaches for addressing Quality of Service (QOS) issues and optimizing network performance. In-depth chapters cover topics including blockchain-assisted secure data sharing, smart 5G Internet of Things (IoT) scenarios, intelligent management of ad hoc networks, and the use of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) techniques in smart healthcare, smart manufacturing, and smart agriculture.

• Covers design, implementation, optimization, and sustainability of wireless and sensor-based networks
• Discusses concepts of sustainability and green computing as well as their relevance to society and the environment
• Addresses green automation applications in various disciplines such as computer science, nanoscience, information technology (IT), and biochemistry
• Explores various smart and sustainable approaches for current wireless and sensor-based networks
• Includes detailed case studies of current methodologies, applications, and implementations

Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks: Real-time Applications is an essential resource for academic researchers and industry professionals working to integrate sustainable development and Information and Communications Technology (ICT).

Sherin Zafar, PhD, Assistant Professor, Department of Computer Science, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India.

Mohd Abdul Ahad, PhD, Assistant Professor,Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India.

Syed Imran Ali, PhD, Lecturer, University of Technology and Applied Sciences, Al Musannah, Sultanate of Oman.

Deepa Mehta, PhD, Senior Data Scientist, Great Learning.

M. Afshar Alam, PhD, Vice Chancellor Jamia Hamdard, New Delhi, India.  

1 Analysis and Clustering of Sensor Recorded Data to Determine Sensors Consuming the Least Energy
Prashant Abbi, Khushi Arora, Praveen Kumar Gupta, K.B. Ashwini, V. Chayapathy, and M.J. Vidya

1.1 Importance of Low Energy Consumption Sensors

1.2 Methodology: Clustering Using K Means and Classification Using KNN

1.3 Objective Realization and Result of Analysis

1.4 Introduction

1.5 Working of WSNs and Sensor Nodes

1.6 Classification of WSNs

1.6.1 Benefits and Drawbacks of Centralized Techniques

1.6.2 Benefits and Drawbacks of Distributed Techniques

1.7 Security Issues

1.7.1 Layering of Level Based Security

1.8 Energy Consumption Issues

1.9 Commonly Used Standards and Protocols for WSNs

1.9.1 Slotted Protocols

1.9.1.1 Time Division Multiple Access

1.9.1.2 Zig Bee/801.15.4

1.9.1.3 Sensor Medium Access Control

1.10 Effects of Temperature and Humidity on the Energy of WSNs

1.10.1 Effects of Temperature on Signal Strength

1.10.2 Effects of Humidity on Signal Strength

1.10.3 Temperature Vs. Humidity

1.11 Proposed Methodology

1.11.1 Information Gathering and Analysis

1.11.2 System Design and Implementation

1.11.3 Testing and Evaluation

1.12 Conclusion

References

2 Impact of Artificial Intelligence in Designing of 5G
K. Maheswari, Mohankumar, and Banuroopa

2.1 5G – An Introduction

2.1.1 Industry Applications

2.1.2 Healthcare

2.1.3 Retail

2.1.4 Agriculture

2.1.5 Manufacturing

2.1.6 Logistics

2.1.7 Sustainability of 5G Networks

2.1.8 Implementation of 5G

2.1.9 Architecture of 5G Technology

2.2 5G and AI

2.2.1 Gaming and Virtual Reality

2.3 AI and 5G

2.3.1 Continuous Learning AI Model

2.4 Challenges and Roadmap

2.4.1 Technical Issues

2.4.2 Technology Roadmap

2.4.3 Deployment Roadmap

2.5 Mathematical Models

2.5.1 The Insights of Mathematical Modeling in 5G Networks

2.6 Conclusion

References

3 Sustainable Paradigm for Computing the Security of Wireless Internet of Things: Blockchain Technology
Sana Zeba, Mohammed Amjad, and Danish Raza Rizvi

3.1 Introduction

3.2 Research Background

3.2.1 The Internet of Things

3.2.1.1 Security Requirements in Wireless IoT

3.2.1.2 Layered Architecture of Wireless IoT

3.2.2 Blockchain Technology

3.2.2.1 Types of Blockchain

3.2.2.2 Integration of Blockchain with Wireless Internet of Things

3.3 Related Work

3.3.1 Security Issues in Wireless IoT System

3.3.2 Solutions of Wireless IoT Security Problem

3.4 Research Methodology

3.5 Comparison of Various Existing Solutions

3.6 Discussion of Research Questions

3.7 Future Scope of Blockchain in IoT

3.8 Conclusion

References

4 Cognitive IoT Based Health Monitoring Scheme Using Non-Orthogonal MultipleAccess
Ashiqur Rahman Rahul, Saifur Rahman Sabuj, Majumder Fazle Haider, andShakil Ahmed

4.1 Introduction

4.2 Related Work

4.3 System Model and Implementation

4.3.1 Network Description

4.3.2 Sensing and Transmission Analysis

4.3.3 Pathloss Model

4.3.4 Mathematical Model Evaluation

4.3.4.1 Effectual Throughput

4.3.4.2 Interference Throughput

4.3.4.3 Energy Efficiency

4.3.4.4 Optimum Power

4.3.4.4.1 Optimum Power Derivation for HRC

4.2.3.4.2 Optimum Power Derivation for MRC

4.4 Simulation Results

4.5 Conclusion

4.A Appendices

4.A.1 Proof of Optimum Power Transmission for HRC Device at EffectualState (z = 0)

4.A.2 Proof of Optimum Power Transmission for HRC Device inInterference State (z = 1)

4.A.3 Proof of Optimum Power Transmission for MRC Device at EffectualState (z = 0)

4.A.4 Proof of Optimum Power Transmission for MRC Device inInterference State (z = 1)

References

5 Overview of Resource Management for Wireless Adhoc Network
Mehajabeen Fatima and Afreen Khueaheed

5.1 Introduction

5.1.1 Wired and Wireless Network Design Approach

5.1.2 History

5.1.3 Spectrum of Wireless Adhoc Network

5.1.4 Enabling and Networking Technologies

5.1.5 Taxonomy of Wireless Adhoc Network (WANET)

5.2 Mobile Adhoc Network (MANET)

5.2.1 Introduction to MANET

5.2.2 Common Characteristics of MANET

5.2.3 Advantages and Disadvantages

5.2.4 Applications of MANET

5.2.5 Major Issues of MANET

5.3 Vehicular Adhoc Network (VANET)

5.3.1 Introduction of VANET

5.3.2 Common Features of VANET

5.3.3 Pros, Cons, Applications

5.4 Wireless Mesh Network (WMN)

5.4.1 Preface of WMN

5.4.2 Common Traits of WMN

5.4.3 WMN Has Many Open Issues and Research Challenges

5.4.4 Performance Metrics

5.4.5 Advantages and Disadvantages

5.4.6 Prominent Areas and Challenges of WMN

5.5 Wireless Sensor Network (WSN)

5.5.1 Overview of WSN

5.5.2 Common Properties of WSN

5.5.3 Benefits, Harms, and Usage of WSN

5.6 Intelligent Management in WANET

5.6.1 Major Issues of WANET

5.6.2 Challenges of MAC Protocols

5.6.3 Routing Protocols

5.6.3.1 Challenges of Routing Protocols

5.6.3.1.1 Scalability

5.6.3.1.2 Quality of Service

5.6.3.1.3 Security

5.6.4 Energy and Battery Management

5.7 Future Research Directions

5.8 Conclusion

References

6 Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques
Chalapathiraju Kanumuri and C.H. Renu Madhavi

6.1 Introduction

6.2 Background

6.2.1 Types of Medical Imaging

6.2.2 M. R. Imaging as a Modality

6.2.3 Types of Brain Tumor M. R. Imaging Modalities

6.2.4 Suitable Technologies Before Machine Learning

6.2.5 MRI Brain Image Segmentation

6.3 Related Work

6.4 Gaps and Observations

6.5 Suggestions

6.6 Conclusion

References

7 Challenges, Standards, and Solutions for Secure and Intelligent 5G Internet of Things (IoT) Scenarios
Ayasha Malik and Bharat Bhushan

7.1 Introduction

7.2 Safety in Wireless Networks: Since 1G to 4G

7.2.1 Safety in Non-IP Networks

7.2.2 Safety in 3G

7.2.3 Security in 4G

7.2.4 Security in 5G

7.2.4.1 Flashy System Traffic and Radio Visual Security Keys

7.2.4.2 Authorized Network Security and Compliance with Subscriber Level Safety Policies

7.2.5 Security in 5G and Beyond

7.3 IoT Background and Requirements

7.3.1 IoT and Its Characteristics

7.3.2 Characteristics of IoT Infrastructure

7.3.3 Characteristics of IoT Applications

7.3.4 Expected Benefits of IoT Adoption for Organization

7.3.4.1 Benefits Correlated to Big Data Created by IoT

7.3.4.2 Benefits Interrelated to the Openness of IoT

7.3.4.3 BenefitsRelated to the Linked Aspect6 of IoT

7.4 Non 5G Standards Supporting IoT

7.4.1 Bluetooth Low Energy

7.4.2 IEEE 802.15.4

7.4.3 LoRa

7.4.4 Sigfox

7.4.5. WiFi HaLow

7.5 5 G Advanced Security Model

7.5.1 Confidentiality

7.5.2 Integrity

7.5.3 Accessibility

7.5.4 Integrated Safety Rule

7.5.5 Visibility

7.6 Safety Challenges and Resolution of Three-Tiers Structure of 5G Networks

7.6.1 Heterogeneous Access Networks

7.6.1.1 Safety Challengers

7.6.1.2 Safety Resolutions

7.6.2 Backhaul Networks

7.6.2.1 Safety Challenges

7.6.2.2 Safety Resolutions

7.6.3 Core Network

7.6.3.1 Safety Challenges

7.6.3.2 Safety Resolutions

7.7 Conclusion and Future Research Directions

References

8 Blockchain Assisted Secure Data Sharing in Intelligent Transportation Systems
Gujkan Madaan, Avinash Kumar, and Bharat Bhushan

8.1 Introduction

8.2 Intelligent Transport System

8.2.1 ITS Overview

8.2.2 Issues in ITS

8.2.3 ITS Role in IoT

8.3 Blockchain Technology

8.3.1 Overview

8.3.2 Types of Blockchain

8.3.2.1 Public Blockchain

8.3.2.3 Private Blockchain

8.2.3.2 Federated Blockchain

8.3.3 Consensus Mechanism

8.3.3.1 Proof of Work

8.3.3.2 Proof of Stake

8.3.3.3 Delegated Proof of Stake

8.3.3.4 Practical Byzantine Fault Tolerance

8.3.3.5 Casper

8.3.3.6 Ripple

8.3.3.7 Proof of Activity

8.3.4 Cryptography

8.3.5 Data Management and Its Structure

8.4 Blockchain Assisted Intelligent Transportation System

8.4.1 Security and Privacy

8.4.2 Blockchain and Its Application foe Improving Security and Privacy

8.4.3 ITS Based on Blockchain

8.4.4 Recent Advancement

8.5 Future Research Perspectives

8.5.1 Electric Vehicle Recharging

8.5.2 Smart City Enabling and Smart Vehicle Security

8.5.3 Deferentially-Privacy Preserving Solutions

8.5.4 Distribution of Economic Profits and Incentives

8.6 Conclusion

References

9 Utilization of Agro Waste for Energy Engineering Applications: Toward the Manufacturing of Batteries and Super Capacitors
S.N. Kumar, S. Akhil, R.P. Nishita, O. Lijo Joseph, Aju Matthew George, and I Christina Jane

9.1 Introduction

9.2 Super Capacitors and Electrode Materials

9.2.1 Energy Density

9.3 Related Works in the Utilization of Agro Waste for Energy EngineeringApplications

9.4 Inferences from Work Related with Utilization of Coconut. Rice Husk, andPineapple Waste for Fabrication of Super Capacitor

9.5 Factors Contributing in the Fabrication of Super Capacitor from Agro Waste

9.6 Conclusion

Acknowledgment

References

10 Computational Intelligence Techiques for Optimization in Networks
Ashu Gautam and Rashima Mahajan

10.1 Introduction Focussing on Pedagogy of Impending Approach

10.1.1 Security Challenge in Networks

10.1.2 Attacks Vulnerability in Complex Networks

10.2 Relevant Analysis

10.3 Broad Area of Research

10.3.1 Routing Protocols

10.3.2 Hybrid Protocols

10.4 Problem Identification

10.5 Objectives of the Study

10.6 Methodology to be Adopted

10.7 Proposed/Expected Outcome of the Research

References

11 R&D Export and ICT Regimes in India
Zeba

11.1 Introduction

11.2 Artificial Intelligence: the Uptake of Infrastructure Development

11.3 Future Analysis and Conclusion

References

12 Metaheuristics to Aid Energy-Efficient Path Selection in Route Aggregated Mobile Ad Hoc Networks
Deepa Mehta, Sherin Zafar, Siddhartha Sankar Biswas, Nida Iftekhar, and Samia Khan

12.1 Introduction

12.2 Framework

12.2.1 Route Aggregation

12.3 Clustering

12.4 Ant Colony Optimization

12.4.1 Setting Parameters and Initializing

12.4.2 Generating Solutions

12.4.3 Pheromone Update

12.5 Methodology

12.5.1 Energy Efficient ACO Algorithm

12.5.2 ACO Aided Cluster and Head Selection

12.5.3 ACO Aided Route Aggregation

12.5.4 ACO Aided Energy: Efficient Path Selection

12.6 Results

12.7 Discussion

12.8 Conclusion

References

13 Knowledge Analytics in IOMT-MANET Through QoS Optimization for Sustainability
Neha Sharma, Nida Iftekhar, and Samia Khan

13.1 Introduction

13.2 Related Work

13.3 Proposed Neoteric Nature Inspired IWD Algorithm for ZRP

13.4 Simulation Results

13.5 Conclusion and Future Work

References

14 Appraise Assortment of IOT Security Optimization
Ayesha Hena Afzal and M. Afshar Alam

14.1 Introduction

14.2 Literature Review

14.3 Analysis of Traditional Security Mechanisms in IOT

14.4 Conclusion and Future Scope

References

15 Trust Based Hybrid Routing Approach for Securing MANET
Neha Sharma and Satrupa Biswas

15.1 Introduction

15.2 Literature Review

15.3 Gaps and Objectives from the Literature Review

15.4 Methodology to be Adopted

15.5 Comparison Analysis

15.6 Conclusion and Future Scope

References

16 Study of Security Issues on Open Channel
Md Mudassir Chaudhary, Siddhartha Sankar Biswas, Md Tabrez Nafis, and Safdar Tenweer

16.1 Introduction

16.2 Wireless Attacks

16.2.1 Reconnaissance Attack

16.2.2 Access Attacks

16.2.3 Man-in-the-Middle Attack

16.2.4 Denial of Services (DOS)

16.3 Securing Wireless Transmissions

16.3.1 Protecting the Confidentiality

16.3.2 Protecting the Modification

16.3.3 Preventing Interruption of Denial-of-Service Attack

16.4 Proposed Model for Securing the Client Over the Channel

16.5 Conclusion

References

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