Swarm Intelligence Applications For The Cities Of The Future
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Swarm Intelligence Applications For The Cities Of The Future
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Author : Leonor Marques Mano Domingos
language : en
Publisher: CRC Press
Release Date : 2025-03-13
Swarm Intelligence Applications For The Cities Of The Future written by Leonor Marques Mano Domingos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Architecture categories.
This book explores the transformative power of swarm intelligence and digital innovations in shaping the cities of the future. It presents a comprehensive analysis of how social learning, citizen engagement, advanced technology, design, construction, planning and public policies converge to create cities that are sustainable, resilient, and inclusive. The initial chapters stress the importance of collective intelligence in urban development, using technologies like Virtual Reality to increase citizen participation and democratise decision-making. Public policies play a key role in driving the digital transformation needed for greener cities, with frameworks and tools to enhance transparency and accountability. Digital technologies in policymaking ensure that policies are adaptive, data-driven, and responsive to real-time challenges. Internet of Things systems are explored for their role in improving public safety, urban resilience, and energy efficiency through digital twins, blockchain, and sensor networks. Swarm intelligence is highlighted for optimising energy management, reducing consumption, and promoting renewable resources. Healthcare integration into urban planning and sustainability is also discussed, with a comparative analysis of cities showing how tech innovation enhances resilience against climate change. Swarm intelligence beyond cities is also explored, such as for disaster response, healthcare, environmental conservation, and agriculture. Autonomous systems like drones and nanobots are shown to improve efficiency across various sectors. Overall, this book advocates for a holistic approach to urban development, integrating digital technologies and collective intelligence to create cities that are technologically advanced, socially equitable, and environmentally sustainable.
Swarm Intelligence For Resource Management In Internet Of Things
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Author : Aboul Ella Hassanien
language : en
Publisher: Academic Press
Release Date : 2020-08-18
Swarm Intelligence For Resource Management In Internet Of Things written by Aboul Ella Hassanien and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-18 with Science categories.
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
Advanced Information Networking And Applications
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Author : Leonard Barolli
language : en
Publisher: Springer Nature
Release Date : 2025-04-07
Advanced Information Networking And Applications written by Leonard Barolli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Computers categories.
Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
Unmanned Aerial Vehicles Swarm For Protecting Smart Cities
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Author : Oroos Arshi
language : en
Publisher: Springer Nature
Release Date : 2025-02-28
Unmanned Aerial Vehicles Swarm For Protecting Smart Cities written by Oroos Arshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Technology & Engineering categories.
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments. The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management. What You Will Learn Identify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilience Gain comprehensive understanding of UAV swarms by exploring diverse disciplines Apply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology Who Is This Book For This book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms.
Advancing Sustainable Science And Technology For A Resilient Future
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Author : Sai Kiran Oruganti
language : en
Publisher: CRC Press
Release Date : 2024-07-01
Advancing Sustainable Science And Technology For A Resilient Future written by Sai Kiran Oruganti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-01 with Technology & Engineering categories.
The Industrial Internet of Things (IIoT) has become an effective tool with significant implications for industrialisation and Market Research (MR), especially in the field of green production. Green IIoT (GRIIoT) can be used to implement Green Production (GP) goals for the environment. The purpose of this study is to examine the drivers behind the adoption of GIIoT, MR, and industrialization decision-making, as well as the effects these drivers have on industrialization performance (IP). A structured questionnaire was used to gather information in order to evaluate the suggested study paradigm. The results indicate that institutional isomorphism influences the acceptance of GRIIoT in a favorable way. Furthermore, Green innovation (GI) activities that result in IP are favorably correlated with GIIoT. The potential effects of the various institutional isomorphisms discussed in this study can aid organizations in better understanding the responsibilities to protect and satisfying stakeholders, particularly as the adopt GIIoT to handle production problems and possible accordance pressures in the process.
Future Communication Systems Using Artificial Intelligence Internet Of Things And Data Science
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Author : Inam Ullah
language : en
Publisher: CRC Press
Release Date : 2024-06-14
Future Communication Systems Using Artificial Intelligence Internet Of Things And Data Science written by Inam Ullah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Computers categories.
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems. The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data‐centric society of the future. New applications are increasingly reliant on machine‐to‐machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self‐optimization for the task at hand while ensuring high dependability and ultra‐low latency. Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision‐making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required. AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi‐agent systems and network ultra‐broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.
Current And Future Trends On Ai Applications
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Author : Mohammed A. Al-Sharafi
language : en
Publisher: Springer Nature
Release Date : 2025-01-21
Current And Future Trends On Ai Applications written by Mohammed A. Al-Sharafi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.
This book offers a deep dive into cutting-edge advancements and emerging trends that are reshaping industries and society. From healthcare and cybersecurity to disaster management and energy informatics, this book brings together expert insights and real-world applications, showcasing AI’s profound impact and boundless potential. Perfect for researchers, practitioners, and students alike, this comprehensive guide not only highlights current innovations but also provides a forward-looking perspective on how AI will drive the next wave of technological breakthroughs.
Ai And Iot For Smart City Applications
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Author : Vincenzo Piuri
language : en
Publisher: Springer Nature
Release Date : 2022-01-04
Ai And Iot For Smart City Applications written by Vincenzo Piuri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-04 with Technology & Engineering categories.
This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.
Artificial Intelligence For Robotics And Autonomous Systems Applications
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Author : Ahmad Taher Azar
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Artificial Intelligence For Robotics And Autonomous Systems Applications written by Ahmad Taher Azar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.
Artificial Intelligence Of Everything And Sustainable Development
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Author : Hamed Nozari
language : en
Publisher: Springer Nature
Release Date : 2025-07-14
Artificial Intelligence Of Everything And Sustainable Development written by Hamed Nozari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.
This book explores the intersection between transformative technologies and sustainable development. In today's world, characterized by diminishing energy sources, declining youth populations, and rapid technological advancements, the need for sustainable practices has never been more pressing. Technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and hybrid technologies have not only revolutionized daily life but also presented new challenges and opportunities. The book presents the concept of "artificial intelligence of everything," highlighting the role of these technologies in driving sustainable, green, and futuristic development. It offers conceptual and quantitative frameworks to enhance understanding and presents insight into their application. Emphasizing the importance of looking beyond the present moment, the book advocates for a future-focused approach to technology, one that prioritizes sustainability in all endeavors. As the world navigates the complexities of the modern era, this book serves as a practical and essential guide. It is designed to help readers navigate the challenges of today's world and embrace sustainable practices that will shape a better future for all.