Comprehensive Guide to Heterogeneous Networks

Kiran Ahuja · Anand Nayyar · Kavita Sharma

2022 സെപ്റ്റം · Academic Press

ഇ-ബുക്ക്

336

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റേറ്റിംഗുകളും റിവ്യൂകളും പരിശോധിച്ചുറപ്പിച്ചതല്ല കൂടുതലറിയുക

ഈ ഇ-ബുക്കിനെക്കുറിച്ച്

Comprehensive Guide to Heterogeneous Networks discusses the fundamental motivations behind this cutting-edge development, along with a brief discussion on the diverse definitions of HNs. The future of heterogeneous wireless networks (HWNs) is covered, including test cases, cost configuration, economic benefits and basic challenges. Other sections cover the topology management method in context of heterogeneous sensor nodes with diverse communication and sensing range. In addition, an outline of the pros and cons of the clustering criteria in HWSNs and taxonomy are summarized and provide futuristic research directions. Final sections discuss the future evolution of HNs and their implementations in diverse applications. This is an essential reference book for advanced students on courses in wireless communications, clinical engineering and networking. It will also be of interest to researchers, network planners, technical mangers and other professionals in these fields. - Discusses the most important problems, challenges and issues which arise when designing real-time heterogeneous networks for diverse scenarios - Represents the unique features of heterogeneous sensor networks, giving the end-user a better understanding of the environment - Provides an overview of real-time performance issues in heterogeneous networks, specifically multi-tasking, multi-level scheduling, localization and security issues - Includes applications of heterogeneous networks in diverse fields and focuses on the convergence of heterogeneous wireless networks for 5G

രചയിതാവിനെ കുറിച്ച്

Kiran Ahuja is an Assistant Professor in the Electronics and Communication Engineering Department at the DAV Institute of Engineering and Technology, Jalandhar, Punjab, India

Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.

Dr. Kavita Sharma is an Associate professor in the Department of CSE at Galgotias College of Engineering & Technology, Greater Noida, India. She received her PhD in Computer Engineering from the National Institute of Technology, Kurukshetra, (Institution of National Importance) India, her M.Tech. in Information Security from GGSIPU, Delhi, India and B.Tech. in IT from UPTU, Lucknow, India. She has also been awarded a research fellowship from Ministry of Electronics and Information Technology from the Government of India. She has more than 10 years’ experience in academia and research. She has 4 patents (1 granted and 3 published), granted 1 design, and published 7 books and 47 research articles in International Journals and Conferences of high repute. She is also serving as Section Editor of for the journal Scalable Computing (SCPE). She is also serving with many other journals of repute in a variety of roles including: guest editor, editorial board member and as a member of the international advisory board. Dr. Sharma has also delivered guest lectures for the International Conference and is currently serving as a reviewer for Journals of IEEE, Springer, Inderscience and Wiley amongst others. She is a Senior Member of the IEEE, Professional Member of ACM, and Life Member of CSI, ISTE, IAENG and Institute of Nanotechnology, and Member of SDIWC, Internet Society, IACSIT, CSTA, IAOE. She has actively participated and organized several International Conferences, Faculty Development Programs, and various National & International Workshops. Her area of interest includes Information and Cyber Security, Mobile Computing, IoT Security, Data Analytics and Machine Learning.

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