Network Optimization in Intelligent Internet of Things Applications
Principles and Challenges
Herausgeber: Khurana Batra, Payal; Tanwar, Sudeep; Mehra, Pawan Singh
Network Optimization in Intelligent Internet of Things Applications
Principles and Challenges
Herausgeber: Khurana Batra, Payal; Tanwar, Sudeep; Mehra, Pawan Singh
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This book sheds light on the optimisation methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance.
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This book sheds light on the optimisation methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 332
- Erscheinungstermin: 25. September 2024
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 662g
- ISBN-13: 9781032521534
- ISBN-10: 1032521538
- Artikelnr.: 70290930
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 332
- Erscheinungstermin: 25. September 2024
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 662g
- ISBN-13: 9781032521534
- ISBN-10: 1032521538
- Artikelnr.: 70290930
Payal Khurana Batra is working as an Assistant Professor in the Department of Computer Science Engineering and Information Technology at Jaypee Institute of Information Technology. Noida, India. She received her B.Tech in Computer Science and Engineering from Kurukshetra University, Kurukshetra, India, in 2004 and her M.E in Information Technology Degree from Panjab University, Chandigarh, India in 2009. She received her PhD degree from Jaypee Institute of Information Technology, Noida, India, in 2017. She has more than ten years of teaching experience. She has patents to her name in the domain of IoT. She has several publications in international conferences and journals indexed in SCI and Scopus. She is an active researcher in WSNs, IoT, Soft Computing Techniques and Machine Learning. Pawan Singh Mehra (Senior Member, IEEE) is an Assistant Professor at Delhi Technological University, New Delhi. He received his Ph.D. in Computer Engineering from Jamia Millia Islamia and M.Tech (Hons) in Computer Science and Engineering from the Center for Development of Advanced Computing(CDAC). He completed a Bachelor of Engineering from RJIT, Gwalior. He has approx. 14 years of Teaching and Research Experience. He has authored more than 50 publications in International journals and conferences indexed in SCIE, Scopus, ESCI, Web of Science. He is an active reviewer in International Journals indexed in IEEE/ACM Transactions, SCIE & Scopus. He has been awarded the Research Excellence Award in 2022, 2023 and 2024. He is a Senior Member of IEEE, ACM, Fellow of IETE and Life member of CSI and ISTE. He has published two books on the Internet of Things and edited a book for GATE. His research interests include Wireless Sensor Networks, Internet of Things, Quantum Computing and Cryptography, Blockchain, Cryptography and Network security, and Artificial Intelligence. Sudeep Tanwar (Senior Member, IEEE) is working as a Professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. Dr Tanwar is a visiting Professor at Jan Wyzykowski University in Polkowice, Poland and the University of Pitesti in Pitesti, Romania. Dr Tanwar's research interests include blockchain technology, wireless sensor networks, fog computing, smart grids, and IoT. He has authored 2 books and edited 13 books and more than 200 technical papers, including top journals and top conferences, such as IEEE TNSE, TVT, TII, WCM, Networks, ICC, GLOBECOM, and INFOCOM. Dr Tanwar initiated the research field of blockchain technology adoption in various verticals in 2017. His h-index is 44. Dr Tanwar actively serves his research communities in multiple roles. He is currently serving in the editorial boards of Physical Communication, Computer Communications, International Journal of Communication System, and Security and Privacy. He has been awarded the best research papers from IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has served at many international conferences as a member of organizing committee, such as publication chair for FTNCT-2020, ICCIC 2020, WiMob 2019, member of advisory board for ICACCT-2021, ICACI 2020, workshop co-chair for CIS 2021, and general chair for IC4S 2019, 2020, ICCSDF 2020. Dr Tanwar is a final voting member for the IEEE ComSoc Tactile Internet Committee in 2020. He is a member of IEEE, CSI, IAENG, ISTE, CSTA, and the Technical Committee on Tactile Internet of IEEE Communication Society. He is leading the ST research lab, where group members are working on the latest cutting-edge technologies.
Part 1: Introduction to IoT, Network Objectives and Optimization
Techniques. Chapter 1. IoT Networks: Issues, Challenges, & Objectives.
Chapter 2. 6G for Intelligent Internet of Things. Chapter 3. A Systematic
Study of Intelligent Toll Payment Gateways. Chapter 4. IOT based Health
Care System for Early Prediction of Alzheimer's Disease. Chapter 5. Ethical
and Social Implications of IOT Integrated Autonomous Vehicles. Part 2.
Energy Conservation for Intelligent IoT Networks. Chapter 6. Green Internet
of Things. Chapter 7. Network Optimization for Internet of Things (IoT):
Techniques and Algorithms. Part 3. Congestion Control and Heterogeneity in
Intelligent IoT Network. Chapter 8 Network Optimization on Internet of
Medical Things. Part 4. Scalability, Reliability and QoS in Intelligent IoT
Network. Chapter 9. Scalable IoT Architecture and Services: Challenges and
Opportunities in IoT Enabled Healthcare Monitoring Frameworks. Chapter 10.
A Study on Intrusion Detection System for RPL Protocol Attacks in Internet
of Things. Part 5. Security and Privacy in Intelligent IoT Network. Chapter
11. Lightweight Cryptography Algorithms, Authorization and Authentication
Techniques in IoT. Chapter 12. Deep Learning Techniques for IoT Security: A
Comprehensive Review and Future Directions. Chapter 13. An Empirical Study
of the Concept Drift Driven Machine Learning for IOT Network Anomaly
Detection. Chapter 14. Internet of Things (IoT) Security Using Blockchain.
Chapter 15. Secure Communication and Authentication in IoT-based UAV
Networks. Chapter 16. A Comprehensive IoT Security Framework Using Edge
Computing: Approaches and Challenges. Chapter 17. Edge Computing Based
Design for IOT Security. Chapter 18. Wi-Fi Jammer, A Threat to IoT
Networks: Experimental Perspective.
Techniques. Chapter 1. IoT Networks: Issues, Challenges, & Objectives.
Chapter 2. 6G for Intelligent Internet of Things. Chapter 3. A Systematic
Study of Intelligent Toll Payment Gateways. Chapter 4. IOT based Health
Care System for Early Prediction of Alzheimer's Disease. Chapter 5. Ethical
and Social Implications of IOT Integrated Autonomous Vehicles. Part 2.
Energy Conservation for Intelligent IoT Networks. Chapter 6. Green Internet
of Things. Chapter 7. Network Optimization for Internet of Things (IoT):
Techniques and Algorithms. Part 3. Congestion Control and Heterogeneity in
Intelligent IoT Network. Chapter 8 Network Optimization on Internet of
Medical Things. Part 4. Scalability, Reliability and QoS in Intelligent IoT
Network. Chapter 9. Scalable IoT Architecture and Services: Challenges and
Opportunities in IoT Enabled Healthcare Monitoring Frameworks. Chapter 10.
A Study on Intrusion Detection System for RPL Protocol Attacks in Internet
of Things. Part 5. Security and Privacy in Intelligent IoT Network. Chapter
11. Lightweight Cryptography Algorithms, Authorization and Authentication
Techniques in IoT. Chapter 12. Deep Learning Techniques for IoT Security: A
Comprehensive Review and Future Directions. Chapter 13. An Empirical Study
of the Concept Drift Driven Machine Learning for IOT Network Anomaly
Detection. Chapter 14. Internet of Things (IoT) Security Using Blockchain.
Chapter 15. Secure Communication and Authentication in IoT-based UAV
Networks. Chapter 16. A Comprehensive IoT Security Framework Using Edge
Computing: Approaches and Challenges. Chapter 17. Edge Computing Based
Design for IOT Security. Chapter 18. Wi-Fi Jammer, A Threat to IoT
Networks: Experimental Perspective.
Part 1: Introduction to IoT, Network Objectives and Optimization
Techniques. Chapter 1. IoT Networks: Issues, Challenges, & Objectives.
Chapter 2. 6G for Intelligent Internet of Things. Chapter 3. A Systematic
Study of Intelligent Toll Payment Gateways. Chapter 4. IOT based Health
Care System for Early Prediction of Alzheimer's Disease. Chapter 5. Ethical
and Social Implications of IOT Integrated Autonomous Vehicles. Part 2.
Energy Conservation for Intelligent IoT Networks. Chapter 6. Green Internet
of Things. Chapter 7. Network Optimization for Internet of Things (IoT):
Techniques and Algorithms. Part 3. Congestion Control and Heterogeneity in
Intelligent IoT Network. Chapter 8 Network Optimization on Internet of
Medical Things. Part 4. Scalability, Reliability and QoS in Intelligent IoT
Network. Chapter 9. Scalable IoT Architecture and Services: Challenges and
Opportunities in IoT Enabled Healthcare Monitoring Frameworks. Chapter 10.
A Study on Intrusion Detection System for RPL Protocol Attacks in Internet
of Things. Part 5. Security and Privacy in Intelligent IoT Network. Chapter
11. Lightweight Cryptography Algorithms, Authorization and Authentication
Techniques in IoT. Chapter 12. Deep Learning Techniques for IoT Security: A
Comprehensive Review and Future Directions. Chapter 13. An Empirical Study
of the Concept Drift Driven Machine Learning for IOT Network Anomaly
Detection. Chapter 14. Internet of Things (IoT) Security Using Blockchain.
Chapter 15. Secure Communication and Authentication in IoT-based UAV
Networks. Chapter 16. A Comprehensive IoT Security Framework Using Edge
Computing: Approaches and Challenges. Chapter 17. Edge Computing Based
Design for IOT Security. Chapter 18. Wi-Fi Jammer, A Threat to IoT
Networks: Experimental Perspective.
Techniques. Chapter 1. IoT Networks: Issues, Challenges, & Objectives.
Chapter 2. 6G for Intelligent Internet of Things. Chapter 3. A Systematic
Study of Intelligent Toll Payment Gateways. Chapter 4. IOT based Health
Care System for Early Prediction of Alzheimer's Disease. Chapter 5. Ethical
and Social Implications of IOT Integrated Autonomous Vehicles. Part 2.
Energy Conservation for Intelligent IoT Networks. Chapter 6. Green Internet
of Things. Chapter 7. Network Optimization for Internet of Things (IoT):
Techniques and Algorithms. Part 3. Congestion Control and Heterogeneity in
Intelligent IoT Network. Chapter 8 Network Optimization on Internet of
Medical Things. Part 4. Scalability, Reliability and QoS in Intelligent IoT
Network. Chapter 9. Scalable IoT Architecture and Services: Challenges and
Opportunities in IoT Enabled Healthcare Monitoring Frameworks. Chapter 10.
A Study on Intrusion Detection System for RPL Protocol Attacks in Internet
of Things. Part 5. Security and Privacy in Intelligent IoT Network. Chapter
11. Lightweight Cryptography Algorithms, Authorization and Authentication
Techniques in IoT. Chapter 12. Deep Learning Techniques for IoT Security: A
Comprehensive Review and Future Directions. Chapter 13. An Empirical Study
of the Concept Drift Driven Machine Learning for IOT Network Anomaly
Detection. Chapter 14. Internet of Things (IoT) Security Using Blockchain.
Chapter 15. Secure Communication and Authentication in IoT-based UAV
Networks. Chapter 16. A Comprehensive IoT Security Framework Using Edge
Computing: Approaches and Challenges. Chapter 17. Edge Computing Based
Design for IOT Security. Chapter 18. Wi-Fi Jammer, A Threat to IoT
Networks: Experimental Perspective.