Research Advances in Network Technologies (eBook, ePUB)

Redaktion: Verma, Anshul; Garg, Lalit; Pattanaik, Kiran Kumar; Verma, Pradeepika

• Format: ePub

Produktbeschreibung

There is a need to keep track of advancements related to the network technologies and further investigate several research challenges to overcome for the ease of users. With this goal, the book provides most recent and prominent research works have been done related to the network technologies.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 310
• Erscheinungstermin: 16. März 2023
• Englisch
• ISBN-13: 9781000837100
• Artikelnr.: 67344634

Autorenporträt

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 & Engineering from Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science & Engineering from Banasthali University, Rajasthan, India. Currently, she is working as Post-Doctoral Fellow in Department of Computer Science & Engineering at Indian Institute of Technology (BHU), Varanasi, India. She is also Associate Professor in Department of Computer Science at K L Deemed to be University, Andhra Pradesh, India and is presently on study leave. Prior to this, she has worked as Assistant Professor in Department of Computer Science & Engineering at Pranveer Singh Institute of Technology, Kanpur, India and as Faculty member in Department of Computer Application at Institute of Engineering and Technology, Lucknow, India. Her current research interests include IoT, Natural Language Processing, Optimization Approaches, and Information Retrieval. Dr. Kiran Kumar Pattanaik holds Bachelor degree in Electrical & Electronics Engineering followed by Master and Doctorate in Computer Science & Engineering. He is presently working as Associate Professor at ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is enthusiastic about exploring various engineering application domains involving Distributed and Mobile Computing, Wireless Sensor Network protocols, IoT, and Edge Computing. His Wireless Sensor Network laboratory is equipped with the necessary computing facilities (simulation and hardware) and is accessible round the clock for learning. The competitive ambiance of the laboratory is instrumental for a number of public funded research projects and high impact factor research publications. Dr. Pattanaik (Senior Member of IEEE) is a reviewer for several leading Journals in the areas of communication and networking. Dr. Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He is also an honorary lecturer at the University of Liverpool, UK. He has also worked as a researcher at the Nanyang Technological University, Singapore and the University of Ulster, UK. He is skilled in solving complex problems using machine learning and data analytics, especially from medicine and healthcare domain. He has published over 90 technical papers in refereed high impact journals, conferences and books and has more than 622 citation count to publications, and some of his articles awarded best paper awards. He has delivered more than 20 keynote speeches in different countries, organised/chaired/co-chaired 16 international conferences and contributed as a technical committee member or a reviewer of several high impact journals and reputed conferences. He is awarded research studentship in Healthcare Modelling to carry out his PhD research studies in the faculty of computing and engineering at the University of Ulster, UK. He completed his Post Graduate in Information Technology from ABV-IIITM, Gwalior, India and his first degree in Electronics and Communication Engineering from Barkatullah University, Bhopal, India. He has also consulted numerous public and private organisations for their information system implementations.

Inhaltsangabe

1. Energy and Delay Balance Ensemble Scheduling Algorithm for Wireless
Sensor Networks. 2. An Improved RSSI Based WSN Localization Algorithm for
Coal Mine Underground Miners. 3. YaraCapper - YARA Rule-Based Automated
System to Detect and Alert Network Attacks. 4. Describing Nature Inspired
Networking and Real-Time Task Execution: A Theoretical Study. 5. Memory
Characterization of GPGPU Applications. 6. A Fuzzy Logic Based Emergency
Vehicle Routing Technique for Vehicular Adhoc Networks. 7. A Fog Cluster
based Framework for Personalized Healthcare Monitoring. 8. QTR: QoS-aware
Traffic Rerouting in OpenFlow based Software Defined Networks. 9.
Application-Based Evaluation of Neural Network Architectures for Edge
Devices. 10. Effective Parallel Approach to Enhance the Performance of
Cloth Simulation Model for Real-Time Applications. 11. Pruning in
Recommender System using Learned Bloom Filter. 12. Performance Evaluation
of ARIMA and CRNN for Weather Prediction. 13. A Novel Approach to Sorting
Algorithm. 14. A New Proposed Sorting Algorithm using Radix Tree and
Binning. 15. Grey Wolf Optimizer for Load Balancing in Cloud Computing. 16.
A COVID-19 Vaccine Notifier Android App "CoWin Mitra". 17. Mathematical
Modelling of Glucocerebrosidase Signalling Networks Linked to
Neurodegeneration. 18. Empirical Analysis of Performance of Routing
Protocols in Opportunistic Networks. 19. Reduce The Privacy & Security
Concerns of Current Social Media Platforms Using Block-Chain Technology.