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Submit a ProposalNetwork Modeling, Simulation and Analysis in MATLAB
 | Theory and Practices By Dac-Nhuong Le, Abhishek Kumar Pandey, Sairam Tadepalli, Pramod Singh Rathore, and Jyotir Moy Chatterjee Copyright: 2019 | Status: Published ISBN: 9781119631439 | Hardcover | 363 pages | 139 illustrations Price: $225 USD  |
One Line Description
State-of-the-art book discusses various basic and advanced methodologies with their fundamental concepts of exploration and exploitation in network simulation including wireless simulation and WSN concepts and implementations.
Audience
The audience is the practitioner in cloud computing, computer science, software engineering, network simulation and design. This book will prepare both undergraduate and graduate students for advanced modeling and simulation courses, and will help them carry out useful simulation studies. Moreover, postgraduate students should be able to comprehend and conduct simulation research after completing this book.
The audience is the practitioner in cloud computing, computer science, software engineering, network simulation and design. This book will prepare both undergraduate and graduate students for advanced modeling and simulation courses, and will help them carry out useful simulation studies. Moreover, postgraduate students should be able to comprehend and conduct simulation research after completing this book.
Description
In addition to modeling and simulating systems, Network Modeling, Simulation and Analysis in MATLAB provides a better understanding of how real-world systems function. This enables us to predict the behavior of systems before they are actually built and to accurately analyze them under various operating conditions.
The book provides comprehensive, state-of-the-art coverage of all the essential aspects of modeling and simulation both physical and conceptual systems. Various real-life examples are included, which show how simulation plays a crucial role in understanding real-world systems. The authors also explain how to effectively use MATLAB to apply the modeling and simulation techniques presented successfully.
After introducing the underlying philosophy of the systems, the book offers step-by-step procedures for modeling with practical examples, and codes different types of systems using modeling techniques such as the Rayleigh fading model, BPSK modulation and demodulation, QPSK modulation and demodulation, etc.
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In addition to modeling and simulating systems, Network Modeling, Simulation and Analysis in MATLAB provides a better understanding of how real-world systems function. This enables us to predict the behavior of systems before they are actually built and to accurately analyze them under various operating conditions.
The book provides comprehensive, state-of-the-art coverage of all the essential aspects of modeling and simulation both physical and conceptual systems. Various real-life examples are included, which show how simulation plays a crucial role in understanding real-world systems. The authors also explain how to effectively use MATLAB to apply the modeling and simulation techniques presented successfully.
After introducing the underlying philosophy of the systems, the book offers step-by-step procedures for modeling with practical examples, and codes different types of systems using modeling techniques such as the Rayleigh fading model, BPSK modulation and demodulation, QPSK modulation and demodulation, etc.
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Author / Editor Details
Dac-Nhuong Le obtained his PhD in computer science from Vietnam National University, Vietnam in 2015. He is Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and image processing in biomedicine. He has authored 4 computer science books and has multiple research articles in international journals.
Dac-Nhuong Le obtained his PhD in computer science from Vietnam National University, Vietnam in 2015. He is Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and image processing in biomedicine. He has authored 4 computer science books and has multiple research articles in international journals.
Abhishek Kumar Pandey is pursuing a doctorate in computer science from the University of Madras and is doing ongoing research on face recognition using the IoT concept. He has a Masters of Technology in Computer Science and Engineering from Government Engineering College, Ajmer, Rajasthan Technical University, Kota, India. He has been working as an Assistant Professor of Computer Science at Aryabhatt Engineering College and Research Center, Ajmer, as well as a visiting faculty member at Government University MDS Ajmer.
Sairam Tadepalli completed his Bachelors in Computer Science and Engineering and Masters in Cloud Computing and is pursuing a PhD in Machine Learning from Vellore Institute of Technology. He has a certification in data science from John Hopkins University, USA.
Singh Rathore has a Masters of Technology in Computer Science and Engineering from Government Engineering College, Ajmer, Rajasthan Technical University, Kota, India. He has been working as the Assistant Professor of Computer Science at Aryabhatt Engineering College and Research Centre, Ajmer, and also as a visiting faculty member at Government University MDS Ajmer. He has authored a book on network simulation.
Jyotir Moy Chatterjee is currently working as an Assistant Professor of IT at Lord Buddha Education Foundation (Asia Pacific University of Technology and Innovation), Kathmandu, Nepal. He received his M.Tech from KIIT University, Bhubaneswar, Odisha and B.Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute University, Chennai, (Tamil Nadu). His research interests include cloud computing, big data, privacy preservation and data mining.
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Table of Contents
List of Figures
List of Tables
Foreword
Preface
Acknowledgments
Acronyms
1 Introduction to Modeling, Simulations and Analysis
2 Introduction to MATLAB Programming
3 Digital Communication System Simulation Using MATLAB
4 Statistical Analysis of Network Data Using MATLAB
5 Network Routing Simulation Using MATLAB
6 Wireless Network Simulation Using MATLAB
7 Mobility Modeling for Vehicular Communication Networks Using MATLAB
8 Case Studies and Sample Codes
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List of Figures
List of Tables
Foreword
Preface
Acknowledgments
Acronyms
1 Introduction to Modeling, Simulations and Analysis
2 Introduction to MATLAB Programming
3 Digital Communication System Simulation Using MATLAB
4 Statistical Analysis of Network Data Using MATLAB
5 Network Routing Simulation Using MATLAB
6 Wireless Network Simulation Using MATLAB
7 Mobility Modeling for Vehicular Communication Networks Using MATLAB
8 Case Studies and Sample Codes
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