Digital Transformation - Modernization and Optimization of Wireless Networks / edited by Ram Krishan.

Format:

Book

Contributor:

Krishan, Ram, editor.

Series:

Computer science, technology and applications.

Computer Science, Technology and Applications Series

Language:

English

Subjects (All):

Digital communications.

Physical Description:

1 online resource (184 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2023]

Summary:

"Digital transformation involves reconsidering your existing approach to common problems. Because it's an evolution, a transformation doesn't necessarily have a clear endpoint. Digital transformation is best conceived of as an ongoing adaptation to a continually changing environment. In a wireless network, data is exchanged between nodes via wireless connections. Wireless network deployment and usage have witnessed exponential growth. Unlike previous generations of mobile systems, present-generation wireless systems can deliver high-speed data services at significantly higher rates as modern systems heavily rely on advanced technologies. In addition, these technologies are fostering the development of an increasingly intelligent Internet of Things (IoT), which requires a trustworthy, efficient, fast, and secure connection. Increasingly intelligent objects pose a challenge to existing communications networks due to their complexity. To fulfil these demands, it is imperative to optimize system performance in order to ensure compliance with industry standards. Wireless networks require time-consuming and energy-intensive mathematical solutions as part of their performance analysis. They also consume a significant amount of power and are inefficient. Therefore, advanced mathematical solutions such as Artificial Intelligence (AI) need to be incorporated into modern wireless systems. This book presents research breakthroughs and reviews on digital transformation in wireless networks, which include works on both important aspects of these networks and how modernization of technologies can contribute to further performance optimization within these networks. Additionally, the book discusses advancements in antennas for modern wireless systems, which are crucial to radio frequency communications. Researchers and professionals interested in sensor networks will benefit from this book. This book will also appeal to postgraduate college engineering students interested in learning more about wireless networks and related technologies"-- Provided by publisher.

Contents:

Intro

Contents

Preface

Chapter 1

An Analysis of D2D Network Modeling and Its Performance

Abstract

1. Introduction

1.1. Literature Survey

1.2. Contribution

2. System Model for UAV-Assisted D2D Communication

2.1. Probability of Outage (OP) for NOMA and OMA Technique

2.2. Downlink Signal Transmission from , - .

2.3. Sum Rate (Throughput) Analysis

2.4. Energy Efficiency

2.5. Results and Discussion

3. System Model for D2D Communication with MIMO-NOMA

4. Results and Discussion

Conclusion

References

Chapter 2

Energy Minimization in the IoT Environment

2. Literature Survey

3. Proposed Work

3.1. Drawback

3.2. Assumptions

4. Analysis of Work

5. Future Work

Chapter 3

A Performance Comparison of C-RS-NOMA with Different Hybrid Technologies for Future Generation Mobile Communication

2. Literature Review

3. Modeling of System

3.1. NOMA

3.2. Cooperative - NOMA

3.3. MIMO-NOMA

Decoding of Weak User 2

Decoding of Strong User 1

3.4. C-RS-NOMA

4. Simulation Set-Up for the Comparison of Various Techniques

5. Simulation Results for Comparison

5.1. Channel Capacity

5.2. Far User (Weak User) Achievable Data Rate

5.3. Spectral Efficiency

5.4. Energy Efficiency (EE)

5.5. The Trade-Off between SE and EE

5.6. Performance Improvement in C-RS-NOMA

Chapter 4

The Application of WSN during Human Activity Detection and Identification Using a Deep Learning Approach

1.1. HAR

1.2. Sensors Used

1.3. Techniques Used in HAR

1.4. Deep Learning

2.1. Supervised/Unsupervised Machine and Transfer Learning

2.2. Feature Extraction and Classification.

2.3. Image Processing

2.4. Segmentation and Transfer Learning

3. Problem Statement

3.1. Proposed Work

3.2. Need for Research

4. Result and Discussion

4.1. Performance of CNN Classifiers to Human Activity Recognition

Conclusion and Future Scope

Chapter 5

The Design Mechanisms of Multiband Antennas from 1G to 5G: A Comprehensive Review

1.1. Background of Multiband

Issue

1.2. Motivation

1.3. Contribution

1.4. Drawback of Multiband

2. Basic Parameters of Designing a Multiband Antenna

2.1. Feeding Methods

2.2. Shape of Patch of Multiband Antenna

3. Overview of Multiband Antenna

3.1. Defected Ground Structure (DGS)

DGS Development from 1G to 5G

DGS Mechanism of Multiband

DGS Application

Fractal Method

Fractal Development from 1g to 5G Application

Fractal Mechanism of Multiband

3.2. Slot Technique

Slot Development from 1G to 5G Generation

Slot Mechanism

3.3. Reconfigurable Antenna

The Technique Used for Reconfigurable 1G, 2G, 3G, 4G, and 5G

Chapter 6

Reconfigurable Wearable Antennas and IOT

1.1. Wearable Antennas

1.2. Frequency Bands Used in Wearable Antennas

1.3. Factors Influencing the Performance of Wearable Antenna

1.4. Antenna Design Requirements for Wearable Antennas

1.5. Procedure for Flexible Antenna Design

1.6. Fabrication Steps of Wearable Antennas

2. Design Example of Reconfigurable Wearable Antenna

3. Simulation Results of Reconfigurable Wearable Antenna

4. IOT Basics and Antennas

4.1. Types of Products in IOT

4.2. Antenna Design Requirements in IOT

4.3. IOT Applications

4.3.1. Living IOT

4.3.2. Smart Agriculture - Greenhouse

Chapter 7.

The Performance Enhancement of the SWIPT-NOMA Technique for 5G Wireless Networks

2. Related Work

3. System Model for Swipt-Mimo-Noma

3.1. Proposed SWIPT-MIMO-NOMA

4. Simulation Setup

5. Simulation Results

5.1. Capacity

5.2. Outage Probability

5.3. Energy Efficiency

5.4. Spectral Efficiency

Chapter 8

How IoT Is Improving Modern Agriculture through Network Technologies

2. IoT Based Technologies Being Used in Agriculture

2.1. Cloud Computing

2.2. Big Data Storage and Analytics

2.3. Robots

2.4. Temperature and Moisture Sensors

2.5. Aerial Images

2.6. GPS Technology

3. Applications of IoT in Agriculture

3.1. Data Collection by Smart Sensors

3.2. Drones are Becoming Helpers in Agriculture

3.3. Tracking of Stock

3.4. Smart Greenhouses

3.5. Reduce Time and Cost

3.6. Prediction in Smart Farming

4. Issues and Challenges in IoT-Based Agriculture

4.1. Challenges Faced by Farmers in Adopting IoT for Agriculture

4.1.1. Lack of Infrastructure

4.1.2. High Cost

4.1.3. Lack of Security

5. A Comparative Study to Know How IoT-Based Technological Devices Are Useful for Modern Agriculture

Chapter 9

Investigating Routing Issues in WSN for Smart Cities

1.1. Machine Learning

1.1.1. A Glance at AI, ML, and Deep Learning

1.2. Wireless Sensor Network

1.3. Routing Protocols

1.4. Smart Cities

1.5. Role of Routing in Smart Cities

1.6. Organization

3. Routing

3.1. Routing Protocol Classification

3.2. Challenges for Existing Routing Protocols

3.3. Parameters for Performance

3.4. Performance Metrics with Formula

Throughput

Delay

Packet Delivery Ratio

4. Proposed Work.

Conclusion

Future Scope of Research

Index

About the Editors

Blank Page.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Other Format:

Print version: Krishan, Ram Digital Transformation - Modernization and Optimization of Wireless Networks

ISBN:

979-88-911-3116-3

9798891131163