Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks

SMART AND SUSTAINABLE APPROACHES FOR OPTIMIZING PERFORMANCE OF WIRELESS NETWORK

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).

Auteur

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.

Texte du rabat
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).

Contenu
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 …