Research Advances in Network Technologies. Dieser Artikel ist nicht verfügbar.Research Advances in Network Technologies

In the present technological age, information is a valuable resource for both small and large enterprises as well as for our daily lives. The key enablers that link computer resources and devices together to gather, process, and distribute crucial data both locally and worldwide are network technologies. For our daily lives and commercial operations, network technologies offer effective, adaptable, and seamless communication while maximizing productivity and resources.

Due to its significance, this field has undergone a significant evolution in the past few decades, moving away from traditional wired networks and toward Bluetooth, infrared, microwave, radio, and satellite networks. These days, network technologies are not employed only in computer labs, businesses, or homes; a wide range of domains, such as vehicular ad hoc networks, mobile ad hoc networks, and the Internet of Things, have been seen using network technologies.

Researchers from academia and industry have worked hard to build and develop software-based network technologies, such as middleware, protocol stacks, and network software architectures, in addition to hardware-based and physical network technologies. The paradigm shift in this field is being driven primarily by software-based network technologies, which have also given rise to numerous new network innovations, including grid computing, cloud computing, fog computing, edge computing, software-defined networks, and content-centric networks. Significant efforts have been made in cellular network technologies to boost the user experience, and as a result, new cellular network technologies, including LTE, VoLTE, and 5G, have also been developed.

Efforts continue to be made by researchers in these networking fields due to the demand for and importance of these technologies in present and future situations. Many of these efforts are still in progress, and there are still possibilities that need to be investigated. As a result, it’s important to stay up to date on network technology developments and look into further research difficulties that need to be resolved for the benefit of users. This book will present the most recent and leading research in the field of network technologies in order to achieve solutions for various problems that exist in this domain.

Dr. Anshul Verma received M.Tech. and Ph.D. degrees in Computer Science & Engineering from ABV-Indian Institute of Information Technology and Management Gwalior, India. He has done Post-doctorate from Indian Institute of Technology Kharagpur, India. Currently, he is serving as Assistant Professor in Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. He has also served as faculty member in Computer Science & Engineering Department at Motilal Nehru National Institute of Technology (MNNIT) Allahabad and National Institute of Technology (NIT) Jamshedpur, India. His research interests include IoT, Mobile ad-hoc networks, Distributed systems, Formal verification, and Mobile computing. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.

Dr. Pradeepika Verma received her Ph.D. degree in Computer Science and Engineering from the Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science and Engineering from Banasthali University, Rajasthan, India. Currently, she is working as a Faculty Fellow in Technical Innovation Hub at Indian Institute of Technology, Patna, India. She has worked as a Post-Doctoral Fellow in Department of Computer Science and Engineering at Indian Institute of Technology (BHU), Varanasi, India. She has also worked as an Assistant Professor in the Department of Computer Science and Engineering at Pranveer Singh Institute of Technology, Kanpur, India, and as a Faculty Member in the Department of Computer Application at the Institute of Engineering and Technology, Lucknow, India. Her current research interests include natural language processing, optimization approaches, information retrieval and Mobile ad-hoc networks.