Pervasive Computing: A Networking Perspective and Future Directions (eBook, PDF)

Redaktion: Bhargava, Deepshikha; Vyas, Sonali

• Format: PDF

Produktbeschreibung

This book offers an accessible guide to ubiquitous computing, with an emphasis on pervasive networking. It addresses various technical obstacles, such as connectivity, levels of service, performance, reliability and fairness. The focus is on describing currently available off-the-shelf technologies, novel algorithms and techniques in areas such as: underwater sensor networks, ant colony based routing, heterogeneous networks, agent based distributed networks, cognitive radio networks, real-time WSN applications, machine translation, intelligent computing and ontology based bit masking.

By introducing the core topics and exploring assistive pervasive systems that draw on pervasive networking, the book provides readers with a robust foundation of knowledge on this growing field of research. Written in a straightforward style, the book is also accessible to a broad audience of researchers and designers who are interested in exploring pervasive computing further.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 163
• Erscheinungstermin: 29. Januar 2019
• Englisch
• ISBN-13: 9789811334627
• Artikelnr.: 56792547

Autorenporträt

Dr. Deepshikha Bhargava is currently Professor at School of Computer Science, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India. Her previous assignment was Director, Amity Institute of Information Technology, Amity University Rajasthan, Jaipur. She is also a guest editor and member of the Reviewer & Editorial Board of 10+ national and international journals, and a Visiting Professor at the Université des Mascareignes (UDM), Ministry of Education and Human Resources, Tertiary Education and Scientific Research, Mauritius. Her research areas include Soft Computing, Bio-Inspired Computation and Software Agents.  She has received several awards including the "Active Participation Woman Award" from CSI India, "Best Faculty of the Year" in the subcategory Authoring Books on Contemporary Subjects at the CSI TechNext India in 2018, the "Outstanding Woman Educator & Scholar Award" at the 2015 Women's Day Awards & Celebration, organized by the National Foundation for Entrepreneurship Development (NFED), and the "Late Smt. Nani Devi-Narayan Swaroop Bhargava Puraskar" award for outstanding contributions in research in 2013. Recently she also received the 'Distinguished Professor' Award from the Computer Society of India. Dr. Sonali Vyas is an Assistant Professor of Computer Science at Amity Institute of Information Technology, Amity University Rajasthan. She was awarded her Ph.D. in Computer Science from Jaipur National University, Rajasthan. Her main research areas are database virtualization, data mining and big data analytics. She has published research papers in refereed journals/conference proceedings, including the National Conference on Computational and Mathematical Sciences, Journal of Global Research Computer Science & Technology (JGRCST), International Conference on Computer Science and Information Technology: Trends, Challenges and Issues (CSIT-TCI 2015), IEEE Delhi Section, International Journal of Innovative Research in Computer and Communication Engineering and many more. She is also a reviewer for several prominent national and international conferences/journals.

Inhaltsangabe

chapter 1. Enhanced Ant Colony Based Routing for VANET.- chapter 2. Implementation of Authentication and Access Control Protocol for Heterogeneous Network.- chapter 3. A Framework for Agent Based Detection and Prevention of DDoS Attacks in Distributed P2P Networks.-chapter 4. Comparative Analysis of Routing Algorithms for Underwater Sensor Network.-chapter 5. Resource Utilization of DTN Routing Protocols by Calculating Energy Consumption of Mobile Nodes.-chapter 6. A Multiband Octagonal Slot Patch Antenna for Various Wireless Applications.-chapter 7. Internet-of-Things:A Survey.-chapter 8. Energy efficient wireless sensor's routing using balanced unequal clustering technique.-chapter 9. Energy efficient WSN using membership handshaking clustering technique for isolated nodes.-chapter 10. Performance Evaluation of Unitary Measurement Matrix in Compressed Data Gathering for Real Time WSN Applications.-chapter 11. Multi-Power Amplification of Energy Efficient LEACH Protocolfor WSNs.-chapter 12. Machine Translation of English Text to Indian Sign Language: A phrase based Approach.-chapter 13. Prediction of bus arrival time using intelligent computing methods.-chapter 14. Comparative Analysis of Tree Based Data Aggregation Protocols to Maximize Lifetime of Wireless Sensor Networks.