Network Optimization In Intelligent Internet Of Things Applications

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Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

Author : Deepak Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1119670071
Total Pages : 464 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications by : Deepak Gupta

Download or read book Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2021-01-07 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to the design, implementation, evaluation, and deployment of emerging technologies for intelligent IoT applications With the rapid development in artificially intelligent and hybrid technologies, IoT, edge, fog-driven, and pervasive computing techniques are becoming important parts of our daily lives. This book focuses on recent advances, roles, and benefits of these technologies, describing the latest intelligent systems from a practical point of view. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications is also valuable for engineers and professionals trying to solve practical, economic, or technical problems. With a uniquely practical approach spanning multiple fields of interest, contributors cover theory, applications, and design methodologies for intelligent systems. These technologies are rapidly transforming engineering, industry, and agriculture by enabling real-time processing of data via computational, resource-oriented metaheuristics and machine learning algorithms. As edge/fog computing and associated technologies are implemented far and wide, we are now able to solve previously intractable problems. With chapters contributed by experts in the field, this book: Describes Machine Learning frameworks and algorithms for edge, fog, and pervasive computing Considers probabilistic storage systems and proven optimization techniques for intelligent IoT Covers 5G edge network slicing and virtual network systems that utilize new networking capacity Explores resource provisioning and bandwidth allocation for edge, fog, and pervasive mobile applications Presents emerging applications of intelligent IoT, including smart farming, factory automation, marketing automation, medical diagnosis, and more Researchers, graduate students, and practitioners working in the intelligent systems domain will appreciate this book’s practical orientation and comprehensive coverage. Intelligent IoT is revolutionizing every industry and field today, and Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications provides the background, orientation, and inspiration needed to begin.

Network Optimization in Intelligent Internet of Things Applications

Author : Payal Khurana Batra
Publisher : CRC Press
ISBN 13 : 1040118771
Total Pages : 349 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Network Optimization in Intelligent Internet of Things Applications by : Payal Khurana Batra

Download or read book Network Optimization in Intelligent Internet of Things Applications written by Payal Khurana Batra and published by CRC Press. This book was released on 2024-09-25 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization 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. This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques. This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance. This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.

Swarm Intelligence for Resource Management in Internet of Things

Author : Aboul Ella Hassanien
Publisher : Academic Press
ISBN 13 : 0128182881
Total Pages : 169 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Swarm Intelligence for Resource Management in Internet of Things by : Aboul Ella Hassanien

Download or read book Swarm Intelligence for Resource Management in Internet of Things written by Aboul Ella Hassanien and published by Academic Press. This book was released on 2020-08-18 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things (IoT) is a new platform of various physical objects or "things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application - Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things - Discusses intelligent techniques for the implementation of swarm intelligence in IoT - Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

Optimization of Manufacturing Systems Using the Internet of Things

Author : Yingfeng Zhang
Publisher : Academic Press
ISBN 13 : 0128099119
Total Pages : 228 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Optimization of Manufacturing Systems Using the Internet of Things by : Yingfeng Zhang

Download or read book Optimization of Manufacturing Systems Using the Internet of Things written by Yingfeng Zhang and published by Academic Press. This book was released on 2016-10-21 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization of Manufacturing Systems Using the Internet of Things extends the IoT (Internet of Things) into the manufacturing field to develop an IoMT (Internet of Manufacturing Things) architecture with real-time traceability, visibility, and interoperability in production planning, execution, and control. This book is essential reading for anyone interested in the optimization and control of an intelligent manufacturing system. As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors. Includes case studies in implementing IoTs for data acquisition, monitoring, and assembly in manufacturing. Helps manufacturers to tackle the growing complexities and uncertainties of manufacturing systems in globalized business environments Acts as an introduction to using IoT for readers across industrial and manufacturing engineering

Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization

Author : Singh, Surjit
Publisher : IGI Global
ISBN 13 : 1522573364
Total Pages : 663 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization by : Singh, Surjit

Download or read book Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization written by Singh, Surjit and published by IGI Global. This book was released on 2019-03-29 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICT technologies have contributed to the advances in wireless systems, which provide seamless connectivity for worldwide communication. The growth of interconnected devices and the need to store, manage, and process the data from them has led to increased research on the intersection of the internet of things and cloud computing. The Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization is a pivotal reference source that provides the latest research findings and solutions for the design and augmentation of wireless systems and cloud computing. The content within this publication examines data mining, machine learning, and software engineering, and is designed for IT specialists, software engineers, researchers, academicians, industry professionals, and students.

Intelligent Network Management and Control

Author : Badr Benmammar
Publisher : John Wiley & Sons
ISBN 13 : 178945008X
Total Pages : 306 pages
Book Rating : 4.7/5 (894 download)

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Book Synopsis Intelligent Network Management and Control by : Badr Benmammar

Download or read book Intelligent Network Management and Control written by Badr Benmammar and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages. Intelligent Network Management and Control deals with topical issues related mainly to intelligent security of computer networks, deployment of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria optimization methods for selecting networks in a heterogeneous environment. This book also focuses on selecting cloud computing services, intelligent unloading of calculations in the context of mobile cloud computing, intelligent resource management in a smart grid-cloud system for better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio networks and intelligent radio input to meet the on-road communication needs of autonomous vehicles.

Swarm Intelligence Optimization

Author : Abhishek Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119778743
Total Pages : 384 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Swarm Intelligence Optimization by : Abhishek Kumar

Download or read book Swarm Intelligence Optimization written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2021-01-07 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

LPWAN Technologies for IoT and M2M Applications

Author : Bharat S Chaudhari
Publisher : Academic Press
ISBN 13 : 0128188804
Total Pages : 446 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis LPWAN Technologies for IoT and M2M Applications by : Bharat S Chaudhari

Download or read book LPWAN Technologies for IoT and M2M Applications written by Bharat S Chaudhari and published by Academic Press. This book was released on 2020-03-19 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low power wide area network (LPWAN) is a promising solution for long range and low power Internet of Things (IoT) and machine to machine (M2M) communication applications. The LPWANs are resource-constrained networks and have critical requirements for long battery life, extended coverage, high scalability, and low device and deployment costs. There are several design and deployment challenges such as media access control, spectrum management, link optimization and adaptability, energy harvesting, duty cycle restrictions, coexistence and interference, interoperability and heterogeneity, security and privacy, and others.LPWAN Technologies for IoT and M2M Applications is intended to provide a one-stop solution for study of LPWAN technologies as it covers a broad range of topics and multidisciplinary aspects of LPWAN and IoT. Primarily, the book focuses on design requirements and constraints, channel access, spectrum management, coexistence and interference issues, energy efficiency, technology candidates, use cases of different applications in smart city, healthcare, and transportation systems, security issues, hardware/software platforms, challenges, and future directions.

Sensor Network Methodologies for Smart Applications

Author : Krit, Salahddine
Publisher : IGI Global
ISBN 13 : 1799843823
Total Pages : 279 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Sensor Network Methodologies for Smart Applications by : Krit, Salahddine

Download or read book Sensor Network Methodologies for Smart Applications written by Krit, Salahddine and published by IGI Global. This book was released on 2020-06-26 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies in today’s society are rapidly developing at a pace that is challenging to stay up to date with. As an increasing number of global regions are implementing smart methods and strategies for sustainable development, they are continually searching for modern advancements within computer science, sensor networks, software engineering, and smart technologies. A compilation of research is needed that displays current applications of computing methodologies in the progression of global cities and how smart technologies are being utilized. Sensor Network Methodologies for Smart Applications is a collection of innovative research on the methods of intelligent systems and technologies and their various applications within sustainable development practices. While highlighting topics including machine learning, network security, and optimization algorithms, this book is ideally designed for researchers, scientists, developers, programmers, engineers, educators, policymakers, geographers, planners, and students seeking current research on smart technologies and sensor networks.

Machine Learning Approach for Cloud Data Analytics in IoT

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119785855
Total Pages : 528 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Approach for Cloud Data Analytics in IoT by : Sachi Nandan Mohanty

Download or read book Machine Learning Approach for Cloud Data Analytics in IoT written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Transforming the Internet of Things for Next-Generation Smart Systems

Author : Alankar, Bhavya
Publisher : IGI Global
ISBN 13 : 1799875431
Total Pages : 173 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Transforming the Internet of Things for Next-Generation Smart Systems by : Alankar, Bhavya

Download or read book Transforming the Internet of Things for Next-Generation Smart Systems written by Alankar, Bhavya and published by IGI Global. This book was released on 2021-06-04 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch. IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0. Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications. The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.

Internet of Things (IoT)

Author : BK Tripathy
Publisher : CRC Press
ISBN 13 : 1351980297
Total Pages : 334 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Internet of Things (IoT) by : BK Tripathy

Download or read book Internet of Things (IoT) written by BK Tripathy and published by CRC Press. This book was released on 2017-10-10 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term IoT, which was first proposed by Kevin Ashton, a British technologist, in 1999 has the potential to impact everything from new product opportunities to shop floor optimization to factory worker efficiency gains, that will power top-line and bottom-line gains. As IoT technology is being put to diversified use, the current technology needs to be improved to enhance privacy and built secure devices by adopting a security-focused approach, reducing the amount of data collected, increasing transparency and providing consumers with a choice to opt out. Therefore, the current volume has been compiled, in an effort to draw the various issues in IoT, challenges faced and existing solutions so far. Key Points: • Provides an overview of basic concepts and technologies of IoT with communication technologies ranging from 4G to 5G and its architecture. • Discusses recent security and privacy studies and social behavior of human beings over IoT. • Covers the issues related to sensors, business model, principles, paradigms, green IoT and solutions to handle relevant challenges. • Presents the readers with practical ideas of using IoT, how it deals with human dynamics, the ecosystem, the social objects and their relation. • Deals with the challenges involved in surpassing diversified architecture, protocol, communications, integrity and security.

Secure and Intelligent IoT-Enabled Smart Cities

Author : Singh, Sushil Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 453 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Secure and Intelligent IoT-Enabled Smart Cities by : Singh, Sushil Kumar

Download or read book Secure and Intelligent IoT-Enabled Smart Cities written by Singh, Sushil Kumar and published by IGI Global. This book was released on 2024-04-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.

Intelligent Internet of Things Networks

Author : Haipeng Yao
Publisher : Springer Nature
ISBN 13 : 303126987X
Total Pages : 413 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Intelligent Internet of Things Networks by : Haipeng Yao

Download or read book Intelligent Internet of Things Networks written by Haipeng Yao and published by Springer Nature. This book was released on 2023-06-09 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks. This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well. The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance. This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book.

Internet of Things & Cloud Computing Applications

Author : Dr.B.CHITRADEVI
Publisher : SK Research Group of Companies
ISBN 13 : 8119980077
Total Pages : 130 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Internet of Things & Cloud Computing Applications by : Dr.B.CHITRADEVI

Download or read book Internet of Things & Cloud Computing Applications written by Dr.B.CHITRADEVI and published by SK Research Group of Companies. This book was released on 2023-10-16 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.B.CHITRADEVI, Assistant Professor, Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Trichy Campus, Tiruchirapalli, Tamil Nadu, India. Mrs.V.YASODHA, Assistant Professor, Department of Computer Applications, Cauvery College for Women (Autonomous), Tiruchirapalli, Tamil Nadu, India. Mr.M.DINESH, Assistant Professor, Department of Computer Science Engineering, Sasurie College of Engineering, Vijayamangalam, Tiruppur, Tamil Nadu, India. Mrs.K.PRADEEPA, Associate Professor, Department of Computer Science, Cauvery college for women (Autonomous), Tiruchirapalli, Tamil Nadu, India. Mrs.A.ANANDHAVALLI, Assistant Professor, Department of Computer Applications, Cauvery College for Women (Autonomous) Trichy, Tamil Nadu, India.

Intelligent Internet of Things for Healthcare and Industry

Author : Uttam Ghosh
Publisher : Springer Nature
ISBN 13 : 3030814734
Total Pages : 388 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Internet of Things for Healthcare and Industry by : Uttam Ghosh

Download or read book Intelligent Internet of Things for Healthcare and Industry written by Uttam Ghosh and published by Springer Nature. This book was released on 2022 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things

Author : Kshira Sagar Sahoo
Publisher : CRC Press
ISBN 13 : 1000814831
Total Pages : 221 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things by : Kshira Sagar Sahoo

Download or read book SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things written by Kshira Sagar Sahoo and published by CRC Press. This book was released on 2022-12-20 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems. Features: The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems Different use cases covered include smart health care, smart city, internet of drones, etc This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.