Computer Network Simulation in Ns2

Network Simulation is the most sought after research field, and it has now become an integral part of many research projects like commercial applications and academic research. The networking and communications domain ranges from finding friends on social networking sites to medical diagnosis to smart cities implementation and even satellite processing. In this book, we have made an honest effort to make the concepts of network simulation easy-all the basics programs are explained in an easy and simple manner in the NS2 simulator, right from the installation part. As the real-time application of networking and communications is endless, the basic concepts and algorithms are discussed using the NS2 simulator so that everyone-from graduate students to researchers-can benefit from this book.

Tagline
Learn to design the Mobile Ad-hoc Networks

Key Features
Installing NS2 and running simple examples
Creating and incorporating the network module
All the built-in NS2 modules are explained in a comprehensive manner
Details of Network AniMator (NAM) and Xgraph
Simple language, crystal clear approach, and a straightforward comprehensible presentation
The concepts are duly supported by several examples

What will you learn
Readers will get to know a conspicuous difference of how NS2 is being utilized as a product device in research and business applications. Today, applying network simulations does not require a PhD. Nonetheless, there are a couple of assets out there that completely cover all the essential parts of actualizing networking and communications, without expecting you to take the advanced math courses. We believe that this book will help any individual who needs to apply network simulation, without studying years of analytics, calculus math, and probability hypothesis.

Who this book is for
The book is basically meant for all those graduate and research students who find the algorithms and protocols of networking and communications difficult to implement. In this book, all basic protocols of networking and simulation are discussed in detail with a practical approach. Primarily, beginners can find this book more effective as the chapters are sub-divided in such a way that they will find building and implementing algorithms in NS2 interesting and easy.

 

Professor Neeraj Bhargava has done his B.Tech in computer science from the Central University of Hyderabad, India, and M.S. in computer science from BITS Pilani, India, and has also completed his Ph.D. in computer science from the University of Rajasthan, Jaipur, India. He has been consistently delivering his services in teaching and motivating the students for more than three decades now. Currently, he is associated with the Department of Computer Science, School of Engineering and System Sciences, MDS University, Ajmer, Rajasthan, India, as a Professor and Head. He is also Nodal in-charge of the NME-ICT project, MHRD, and Govt. of India. He has been guiding many research scholars in Computer Science. He is a convener and a member of many academic bodies like the board of studies and many reputed universities in India. He has written numerous books on a national as well as international level and has published more than 100 prominent research papers in International Journals and contributed as an organizing chair in more than 15 national and international conferences. His area of research primarily includes GIS Spatial Data Management System, Machine Learning, 3D Computer Graphics, Computer Vision, E-learning, and Ad-hoc Network. Mr. Bhargava’s work for face recognition and fingerprint recognition has been cited in many reputed research works, and he has also visited many foreign countries as a keynote speaker.

Pramod Singh Rathore is pursuing his doctorate in computer science and holds a degree in M. Tech in computer science and engineering from Rajasthan Technical University, a government engineering college in Kota, Ajmer. He has been working as an assistant computer science professor at the Aryabhatt Engineering College and Research Centre, Ajmer, Rajasthan, and is also a part of the visiting faculty in Government University MDS, Ajmer. He has a total academic teaching experience of more than 8 years, with more than 45 publications in reputed, peer-reviewed national and international journals; books and conferences like Wiley, IGI GLOBAL, Taylor & Francis Springer, Elsevier Science Direct, Annals of Computer Science, Poland, and IEEE. He has also co-authored three edited books and is currently working on a Network Simulation Book with Wiley Publications, and a Machine Learning book with BPB Publications. Mr. Rathore’s research area includes NS2, Computer Network, Mining, and DBMS. He is also an editorial and advisory committee member of the Global Journal Group, as well as a member of various national and international professional societies in the field of engineering and research, such as Member of IAENG (International Association of Engineers).

Dr. Ritu Bhargava is an assistant professor at the Department of Computer Science, Sophia Girls College, Ajmer. She holds a Ph.D. in computer science from Hemchandracharya North Gujarat University, Patan, Gujarat. She also has more than 15 years of active teaching and research experience and has delivered a series of talks and lectures at reputed universities in India. She is a life member of CSI and a member of ACM and IEEE. She has written 3 books with national and international publishers and has more than 30 prominent research papers in international journals. Additionally, she has contributed as an organizing chair in more than 15 national and international conferences. Her area of research includes Data Mining, GIS Spatial Data Management System, Machine Learning, 3D Computer Graphics, Computer Vision, E-learning, and Ad-hoc Network. Her work for face recognition and fingerprint recognition has been cited in many reputed research works.

Abhishek Kumar holds a doctorate in computer science from the University of Madras and has done his M.Tech in computer science and engineering from Rajasthan Technical University, a government engineering college in Kota, Ajmer. He has a total academic teaching experience of more than 8 years, with more than 55 publications in reputed, peer-reviewed national and international journals; books and conferences like Wiley, Taylor and Francis Springer, Elsevier Science Direct, Inderscience, Annals of Computer Science, Poland, and IEEE. His research area includes Artificial Intelligence, Image Processing, Computer Vision, Data Mining, and Machine Learning. Mr. Kumar has also been a part of the International Conference Committee of many international conferences and has also been the reviewer for IEEE and Inderscience Journal. He has authored 5 books that have been published internationally and has edited a total of 11 books with Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, and CRC. He is also a member of various national and international professional societies in the field of engineering and research; he holds titles like Senior Member of IEEE, IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors), Associate Member of IAIP (International Association of Innovation Professionals), Member of ICSES (International Computer Science and Engineering Society), Life Member of ISRD (International Society for Research and Development), Member of ISOC (Internet Society), Editorial Board Member in IOSRD. Mr. Kumar has also received a Sir CV Raman lifetime achievement national award in 2018 for the Young Researcher and Faculty category.