Handbook of Research on Network-enabled IoT Applications for Smart City Services

Handbook of Research on Network-enabled IoT Applications for Smart City Services PDF Author: K. Hemant Kumar Reddy
Publisher: Information Science Reference
ISBN:
Category : Internet of things
Languages : en
Pages : 0

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Book Description
The rapid growth of IoT and its applications in smart cities have brought about significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) poses a single point of failure, hindering network performance. Moreover, IoT devices themselves are susceptible to attacks, compromising user data and privacy. Scholars in the field urgently need a comprehensive solution to address these pressing issues. Network-Enabled IoT Applications for Smart City Services offer a compelling solution to the challenges faced by academic scholars in the IoT and smart city domain. Dr. K. Hemant Kumar Reddy, along with Dr. Diptendu SinhaRoy and Tapas Mishra, presents a persuasive and timely approach in this book. They propose leveraging SDN, which decouples the control plane from the data plane, enabling more efficient handling of high-frequency data streams from IoT devices. Additionally, the authors advocate for the integration of blockchain technology to enhance security and reliability in IoT applications. By decentralizing control and ensuring tamper-proof transactions, blockchain offers a promising solution for robust data management. This book provides academic scholars with a comprehensive and innovative solution to the challenges posed by IoT applications in smart city services. With their extensive expertise, the authors address critical issues such as network strain, security vulnerabilities, and device failures. By offering insights into the use of SDN and blockchain, the authors provide a roadmap for scholars to enhance network efficiency, security, and reliability in IoT applications. Network-Enabled IoT Applications for Smart City Services serve as an invaluable resource, inspiring further research and development in this rapidly evolving field and enabling scholars to make significant contributions to the advancement of IoT and smart city technologies.

Handbook of Research on Network-enabled IoT Applications for Smart City Services

Handbook of Research on Network-enabled IoT Applications for Smart City Services PDF Author: K. Hemant Kumar Reddy
Publisher: Information Science Reference
ISBN:
Category : Internet of things
Languages : en
Pages : 0

Get Book Here

Book Description
The rapid growth of IoT and its applications in smart cities have brought about significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) poses a single point of failure, hindering network performance. Moreover, IoT devices themselves are susceptible to attacks, compromising user data and privacy. Scholars in the field urgently need a comprehensive solution to address these pressing issues. Network-Enabled IoT Applications for Smart City Services offer a compelling solution to the challenges faced by academic scholars in the IoT and smart city domain. Dr. K. Hemant Kumar Reddy, along with Dr. Diptendu SinhaRoy and Tapas Mishra, presents a persuasive and timely approach in this book. They propose leveraging SDN, which decouples the control plane from the data plane, enabling more efficient handling of high-frequency data streams from IoT devices. Additionally, the authors advocate for the integration of blockchain technology to enhance security and reliability in IoT applications. By decentralizing control and ensuring tamper-proof transactions, blockchain offers a promising solution for robust data management. This book provides academic scholars with a comprehensive and innovative solution to the challenges posed by IoT applications in smart city services. With their extensive expertise, the authors address critical issues such as network strain, security vulnerabilities, and device failures. By offering insights into the use of SDN and blockchain, the authors provide a roadmap for scholars to enhance network efficiency, security, and reliability in IoT applications. Network-Enabled IoT Applications for Smart City Services serve as an invaluable resource, inspiring further research and development in this rapidly evolving field and enabling scholars to make significant contributions to the advancement of IoT and smart city technologies.

Handbook of Research on Network-Enabled IoT Applications for Smart City Services

Handbook of Research on Network-Enabled IoT Applications for Smart City Services PDF Author: Reddy, K. Hemant Kumar
Publisher: IGI Global
ISBN:
Category : Political Science
Languages : en
Pages : 437

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Book Description
The rapid growth of IoT and its applications in smart cities pose significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) presents a single point of failure, hindering network performance, while IoT devices themselves are susceptible to attacks, compromising user data and privacy. To address these pressing issues, Network-Enabled IoT Applications for Smart City Services offers a compelling solution. Edited by Dr. K. Hemant Kumar Reddy, Dr. Diptendu SinhaRoy, and Tapas Mishra, this book advocates leveraging SDN to handle high-frequency data streams effectively. It also proposes the integration of blockchain technology to enhance security and reliability in IoT applications, offering a roadmap for scholars to improve network efficiency, security, and reliability in IoT and smart city domains. With their extensive expertise, the authors provide academic scholars with a comprehensive and innovative resource that inspires further research and development in this evolving field, enabling them to make significant contributions to the advancement of IoT and smart city technologies.

Secure and Intelligent IoT-Enabled Smart Cities

Secure and Intelligent IoT-Enabled Smart Cities PDF Author: Singh, Sushil Kumar
Publisher: IGI Global
ISBN:
Category : Political Science
Languages : en
Pages : 453

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Book Description
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.

Big Data and Blockchain Technology for Secure IoT Applications

Big Data and Blockchain Technology for Secure IoT Applications PDF Author: Shitharth Selvarajan
Publisher: CRC Press
ISBN: 1040149847
Category : Computers
Languages : en
Pages : 215

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Book Description
Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications. As the IoT landscape continues to expand rapidly, the need for robust security measures becomes paramount to safeguard sensitive data and ensure the integrity of connected devices. This book delves into the synergistic potential of leveraging big data analytics and blockchain’s decentralized ledger system to fortify IoT ecosystems against various cyber threats, ranging from data breaches to unauthorized access. Within this groundbreaking text, readers will uncover the foundational principles underpinning big data analytics and blockchain technology, along with their respective roles in enhancing IoT security. Through insightful case studies and practical examples, this book illustrates how organizations across diverse industries can harness the power of these technologies to mitigate risks and bolster trust in IoT deployments. From real‐time monitoring and anomaly detection to immutable data storage and tamper‐proof transactions, the integration of big data and blockchain offers a robust framework for establishing secure, transparent, and scalable IoT infrastructures. Furthermore, this book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the complexities of IoT security. By bridging the gap between theory and application, this book equips readers with the knowledge and tools necessary to navigate the evolving landscape of interconnected devices while safeguarding against emerging cyber threats. With contributions from leading experts in the field, it offers a forward‐thinking perspective on harnessing the transformative potential of big data and blockchain to realize the full promise of the IoT securely.

Building Community Resiliency and Sustainability With Tourism Development

Building Community Resiliency and Sustainability With Tourism Development PDF Author: Hassan, Viana
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 383

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Book Description
Across the globe, communities face increasing challenges in building resilience and sustainability in the face of climate change, economic disparities, and other complex issues. The tourism sector, often seen as a driver of economic growth, has also been a source of environmental degradation, cultural erosion, and social inequities in many destinations. There is a growing need for a new approach to sustainable tourism development that enhances community well-being and environmental stewardship. Building Community Resiliency and Sustainability With Tourism Development provides a comprehensive framework for transforming the tourism sector into a force for positive change. The book explores the relationship between tourism, community development, and environmental conservation. It offers practical solutions to promote resilience and sustainability in tourism-dependent communities. Through case studies, best practices, and innovative strategies, readers can learn how to leverage tourism to promote economic, social, and environmental benefits.

Digital Technologies in Modeling and Management: Insights in Education and Industry

Digital Technologies in Modeling and Management: Insights in Education and Industry PDF Author: Prakasha, G. S.
Publisher: IGI Global
ISBN: 1668495783
Category : Computers
Languages : en
Pages : 427

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Book Description
Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

TinyML for Edge Intelligence in IoT and LPWAN Networks

TinyML for Edge Intelligence in IoT and LPWAN Networks PDF Author: Bharat S Chaudhari
Publisher: Elsevier
ISBN: 0443222037
Category : Computers
Languages : en
Pages : 520

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Book Description
Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.

Examining the Rapid Advance of Digital Technology in Africa

Examining the Rapid Advance of Digital Technology in Africa PDF Author: Amoah, Lloyd G. Adu
Publisher: IGI Global
ISBN: 1668499673
Category : Computers
Languages : en
Pages : 390

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Book Description
There are essential questions surrounding Africa's digitalization journey, including whether or not the continent can truly serve as the last frontier for socio-economic transformation through digital innovation. An examination of countries such as Ghana, Kenya, Senegal, and Rwanda, which are actively pursuing digitalization, may provide some answers. To evaluate the potential implications, both real and potential, that arise from this focused pursuit, a critical analysis is necessary. Scrutiny of digital infrastructure by companies like Huawei, the emergence of artificial intelligence, and the advent of quantum computing will open new pathways to understanding and establishing promising approaches to the advancement of this region. Examining the Rapid Advance of Digital Technology in Africa offers a comprehensive exploration of the transformative power of digitalization in Africa and its implications for the continent's socio-economic development. It engages with the field of science and technology studies, linking it with socio-economic impacts and transformation, to track, analyze, understand, and critique Africa's contributions to digitalization. The chapters cover a wide range of themes, including ICTs and the business environment, education, healthcare, creative industries, media, culture, tourism, agriculture, ecology, artificial intelligence, blockchain and cryptocurrency revolution, algorithmic governance, the quantum age, and urbanization. This book is a must-read for researchers, scholars, investors, and policymakers who are interested in Africa's digital transformation, as it offers valuable insights into the latest empirical and theoretical aspects shaping the continent's ongoing digitalization.

Maintaining a Sustainable World in the Nexus of Environmental Science and AI

Maintaining a Sustainable World in the Nexus of Environmental Science and AI PDF Author: Singh, Bhupinder
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 648

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Book Description
The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.

Artificial Intelligence and Machine Learning in Drug Design and Development

Artificial Intelligence and Machine Learning in Drug Design and Development PDF Author: Abhirup Khanna
Publisher: John Wiley & Sons
ISBN: 1394234171
Category : Computers
Languages : en
Pages : 737

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Book Description
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.