Ajit Kumar Nayak – författare

Computer Network Simulations Using NS2 provides a solid foundation of computer networking knowledge and skills, covering everything from simple operating system commands to the analysis of complex network performance metrics.The book begins with a discussion of the evolution of data communication techniques and the fundamental issues associated with performance evaluation. After presenting a preliminary overview of simulation and other performance evaluation techniques, the authors:Describe a number of computer network protocols and TCP/IP and OSI models, highlighting the networking devices usedExplain a socket and its use in network programming, fostering the development of network applications using C and socket APIIntroduce the NS2 network simulator, exhibiting its internal architecture, constituent software packages, and installation in different operating systemsDelve into simulation using NS2, elaborating on the use of Tcl and OTcl scripts as well as AWK scripting and plotting with GnuplotShow how to simulate wired and wireless network protocols step by step, layer by layerExplore the idea of simulating very large networks, identifying the challenges associated with measuring and graphing the various network parametersInclude nearly 90 example programs, scripts, and outputs, along with several exercises requiring application of the theory and programmingComputer Network Simulations Using NS2 emphasizes the implementation and simulation of real-world computer network protocols, affording readers with valuable opportunities for hands-on practice while instilling a deeper understanding of how computer network protocols work.

Computer Network Simulations Using NS2 provides a solid foundation of computer networking knowledge and skills, covering everything from simple operating system commands to the analysis of complex network performance metrics.The book begins with a discussion of the evolution of data communication techniques and the fundamental issues associated with performance evaluation. After presenting a preliminary overview of simulation and other performance evaluation techniques, the authors:Describe a number of computer network protocols and TCP/IP and OSI models, highlighting the networking devices usedExplain a socket and its use in network programming, fostering the development of network applications using C and socket APIIntroduce the NS2 network simulator, exhibiting its internal architecture, constituent software packages, and installation in different operating systemsDelve into simulation using NS2, elaborating on the use of Tcl and OTcl scripts as well as AWK scripting and plotting with GnuplotShow how to simulate wired and wireless network protocols step by step, layer by layerExplore the idea of simulating very large networks, identifying the challenges associated with measuring and graphing the various network parametersInclude nearly 90 example programs, scripts, and outputs, along with several exercises requiring application of the theory and programmingComputer Network Simulations Using NS2 emphasizes the implementation and simulation of real-world computer network protocols, affording readers with valuable opportunities for hands-on practice while instilling a deeper understanding of how computer network protocols work.

Computer Network Simulations Using NS2 provides a solid foundation of computer networking knowledge and skills, covering everything from simple operating system commands to the analysis of complex network performance metrics.The book begins with a discussion of the evolution of data communication techniques and the fundamental issues associated with performance evaluation. After presenting a preliminary overview of simulation and other performance evaluation techniques, the authors:Describe a number of computer network protocols and TCP/IP and OSI models, highlighting the networking devices usedExplain a socket and its use in network programming, fostering the development of network applications using C and socket APIIntroduce the NS2 network simulator, exhibiting its internal architecture, constituent software packages, and installation in different operating systemsDelve into simulation using NS2, elaborating on the use of Tcl and OTcl scripts as well as AWK scripting and plotting with GnuplotShow how to simulate wired and wireless network protocols step by step, layer by layerExplore the idea of simulating very large networks, identifying the challenges associated with measuring and graphing the various network parametersInclude nearly 90 example programs, scripts, and outputs, along with several exercises requiring application of the theory and programmingComputer Network Simulations Using NS2 emphasizes the implementation and simulation of real-world computer network protocols, affording readers with valuable opportunities for hands-on practice while instilling a deeper understanding of how computer network protocols work.

Computer Network Simulations Using NS2 provides a solid foundation of computer networking knowledge and skills, covering everything from simple operating system commands to the analysis of complex network performance metrics.The book begins with a discussion of the evolution of data communication techniques and the fundamental issues associated with performance evaluation. After presenting a preliminary overview of simulation and other performance evaluation techniques, the authors:Describe a number of computer network protocols and TCP/IP and OSI models, highlighting the networking devices usedExplain a socket and its use in network programming, fostering the development of network applications using C and socket APIIntroduce the NS2 network simulator, exhibiting its internal architecture, constituent software packages, and installation in different operating systemsDelve into simulation using NS2, elaborating on the use of Tcl and OTcl scripts as well as AWK scripting and plotting with GnuplotShow how to simulate wired and wireless network protocols step by step, layer by layerExplore the idea of simulating very large networks, identifying the challenges associated with measuring and graphing the various network parametersInclude nearly 90 example programs, scripts, and outputs, along with several exercises requiring application of the theory and programmingComputer Network Simulations Using NS2 emphasizes the implementation and simulation of real-world computer network protocols, affording readers with valuable opportunities for hands-on practice while instilling a deeper understanding of how computer network protocols work.

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.