Swarm Intelligence Applications For The Cities Of The Future
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Swarm Intelligence Applications for the Cities of the Future
Author: Leonor Marques Mano Domingos
language: en
Publisher: CRC Press
Release Date: 2025-03-13
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
Author: Aboul Ella Hassanien
language: en
Publisher: Academic Press
Release Date: 2020-08-19
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
Advanced Information Networking and Applications
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.