Internet of Multimedia Things (IoMT)
Techniques and Applications
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Internet of Multimedia Things (IoMT): Techniques and Applications disseminates research efforts in the security and resilience of intelligent data-centric critical systems to support advanced research in this area. Sections cover the background of IoMT Architectures and Technologies, describe the problems that arise in IoMT Computing and protocols, and illustrate the application of IoMT on Industrial applications. The book will be beneficial for engineers, developers, solution designers, architects, system engineers and specialists from professional environments interested in the IoMT to seek appropriate solutions to their specific problems.
Key Features
- Addresses recent developments, along with relevant prospects on opportunities and challenges in IoMT
- Presents the concept and vision of the IoMT, whose potentialities are discussed with specific use-cases
- Discusses the distinct architectural design and characteristics of IoMT as compared to the existing multimedia systems
Readership
Engineers, Scientists, Students, Researchers, and Professionals who want to explore the opportunities and challenges of designing and developing algorithms and protocols for IoMT. Developers, solution designers, Architect, system engineers, specialists from professional environments interested in the IoMT for seeking appropriate solutions to their specific problems
Table of Contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Chapter 1: A review on Internet of Multimedia Things (IoMT) routing protocols and quality of service
- Abstract
- 1.1. Introduction
- 1.2. Routing protocols in IoMT
- 1.3. Quality of Service (QoS) routing in IoMT
- 1.4. Conclusion and future directions
- References
- Chapter 2: Energy efficient data communication in Internet of Multimedia Things (IoMT)
- Abstract
- 2.1. Introduction
- 2.2. Related work
- 2.3. System model
- 2.4. Proposed approach
- 2.5. Implementation and results
- 2.6. Conclusion
- References
- Chapter 3: Visual information processing and transmission in Wireless Multimedia Sensor Networks: a deep learning based practical approach
- Abstract
- 3.1. Introduction
- 3.2. Literature review
- 3.3. Deep learning based practical approach for WMSN
- 3.4. Computer vision algorithms in WMSN
- 3.5. Conclusion and future considerations
- References
- Chapter 4: Cognitive radio-medium access control protocol for Internet of Multimedia Things (IoMT)
- Abstract
- 4.1. Introduction
- 4.2. Difference in Internet of Things and Internet-of-Multimedia-Things
- 4.3. Internet-of-Multimedia-Things and cognitive radio
- 4.4. CR-MAC protocols for Internet-of-Multimedia-Things
- 4.5. Challenges in cognitive radio based IoMT network
- 4.6. Summary
- References
- Chapter 5: Multimedia nano communication for healthcare – noise analysis
- Abstract
- 5.1. Introduction
- 5.2. Noise in nano communication and statistical tools
- 5.3. Fundamentals on various noises in MNC
- 5.4. Fundamentals on various noises in EMNC
- 5.5. Physical and/or stochastic models for noise in MNC
- 5.6. Physical and/or stochastic models for noise in EMNC
- 5.7. Simulation results of different noises under nano communication
- 5.8. Open research challenges on noises in nano communication
- 5.9. Summary
- References
- Chapter 6: The use of deep learning in image analysis for the study of oncology
- Abstract
- 6.1. The difficulties in meeting demand
- 6.2. What is deep learning?
- 6.3. Deep learning techniques and processes
- 6.4. Data difficulties
- 6.5. The current uses of deep learning image analysis
- 6.6. The future of deep learning image analysis in the study of oncology
- 6.7. Conclusion
- References
- Chapter 7: Automatic analysis of the heart sound signal to build smart healthcare system
- Abstract
- 7.1. Introduction
- 7.2. Literature survey
- 7.3. Methods and materials
- 7.4. Proposed methodology
- 7.5. Results and discussion
- 7.6. Conclusions
- References
- Chapter 8: Efficient single image haze removal using CLAHE and Dark Channel Prior for Internet of Multimedia Things
- Abstract
- 8.1. Introduction
- 8.2. Background and related work
- 8.3. Analysis of adaptive contrast enhancement with DCP and its optimization
- 8.4. Results and discussion
- 8.5. Conclusion
- References
- Chapter 9: A supervised and unsupervised image quality assessment framework in real-time
- Abstract
- 9.1. Introduction
- 9.2. Related work
- 9.3. Contributions
- 9.4. Definitions
- 9.5. Data quality
- 9.6. Framework
- 9.7. Experiments
- 9.8. Conclusion
- References
- Chapter 10: A computational approach to understand building floor plan images using machine learning techniques
- Abstract
- 10.1. Introduction
- 10.2. Motivation of the problem
- 10.3. Problem statement
- 10.4. Literature survey
- 10.5. Descriptive narration generation from floor plan images
- 10.6. Application to smart homes and buildings
- 10.7. Conclusion
- References
- Index
Product details
- No. of pages: 284
- Language: English
- Copyright: © Academic Press 2022
- Published: June 16, 2022
- Imprint: Academic Press
- eBook ISBN: 9780323900829
- Paperback ISBN: 9780323858458
About the Editors
Shailendra Shukla
SHAILENDRA SHUKLA is Assistant Professor at the Computer Science and Engineering Department of the Motilal Nehru National Institute of Technology Allahabad. He received the MS-(Information Security) from the "Indian Institute of Information Technology Allahabad and then completed a Ph.D. from the Indian Institute of Technology Patna in computer science. His doctorial work is based on "On Boundary Detection and Localization in Wireless Sensor Networks". In this work, he proposed a collection of networking algorithms which address the security problems like routing in the Internet of Things, localization, boundary node detection (surveillance), virtual coordinate assignment (Geography routing/localizations), cyber-physical systems, monitoring, and surveillance. He has published articles in various publication houses like in Elsevier, Springer, IEEE. Previously, he was associated with Jaypee University for 5 years. Currently, he is supervising 2 Ph.D. students and guided 5 master students. He has been involved in TEQIP-III research projects in the area of IoT and Telemedicine.
Affiliations and Expertise
Assistant Professor, Computer Science and Engineering Department, Motilal Nehru National Institute of Technology Allahabad, India
Amit Singh
Dr. Amit Kumar Singh is an assistant professor at the Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India. He has authored more than 100 peer-reviewed journal, conference publications and book chapters, three books and edited five books with internationally recognized publishers such Springer and Elsevier. He has edited various international journal special issues as a lead guest editor such as IEEE Transactions on Industrial Informatics, ACM Transactions on Multimedia Computing, Communications, and Applications, ACM Transactions on Internet Technology, IEEE Access, Multimedia Tools and Applications, Springer, International Journal of Information Management, Elsevier, Journal of Ambient Intelligence and Humanized Computing, Springer Etc. He has obtained memberships from several international academic organizations such as ACM and IEEE. His research interests include multimedia data hiding, image processing, biometrics, & Cryptography.
Affiliations and Expertise
Assistant Professor, Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India
Gautam Srivastava
GAUTAM SRIVASTAVA was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2011, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted to the rank of Associate Professor in January 2018. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 8-year academic career, he has published a total of 43 papers in high-impact conferences in many countries and in high-status journals (SCI, SCIE) and has also delivered invited guest lectures on Big Data, Cloud Computing, Internet of Things, and Cryptography at many Taiwanese and Czech universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan, Singapore, Canada, Czech Republic, Poland and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students. Assoc. Prof. Gautam Srivastava received *Best Oral Presenter Award* in FSDM 2017 which was held at the National Dong Hwa University (NDHU) in Shoufeng (Hualien County) in Taiwan (Republic of China) on November 24-27, 2017.
Affiliations and Expertise
Associate Professor, Brandon University, Department of Mathematics, Brandon, Canada
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