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Comprehensive Guide to Heterogeneous Networks

Comprehensive Guide to Heterogeneous Networks


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About the Book

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.

Table of Contents:
1. Heterogeneous Wireless Sensor Networks: Deployment Strategies and Coverage Models 2. Efficient Multi-tasking in heterogeneous wireless sensor networks 3. Network selection in a heterogeneous wireless environment based on path prediction and user mobility 4. Reducing control packets using covering rough set for route selection in mobile ad-hoc networks 5. Optimization of Hybrid Broad-cast/Broadband Networks for the Delivery of Linear Services Using Stochastic Geometry 6. A Comprehensive survey on Heterogeneous cognitive radio networks 7. Evaluation and Analysis of Clustering Algorithms for Heterogeneous Wireless Sensor Networks 8. Analysis of Energy Efficient Cluster Based Routing Protocol for Heterogeneous WSNs 9. Imperative Load Balancing Techniques in Heterogeneous Wireless Networks 10. Intelligent Intersystem Handover Delay Reduction Algorithm for Heterogeneous Wireless Networks

About the Author :
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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Product Details
  • ISBN-13: 9780323905275
  • Publisher: Elsevier Science & Technology
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 336
  • Width: 191 mm
  • ISBN-10: 0323905277
  • Publisher Date: 22 Sep 2022
  • Binding: Paperback
  • Language: English
  • Weight: 634 gr


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