This book features the major research advances on integrated networking, caching, and computing. Information-centric networking-based caching is one of the promising techniques for future networks. The cloud computing paradigm has been widely adopted to enable convenient, on-demand network access to a shared pool of configurable computing resources. In addition, fog/edge computing is proposed to deploy computing resources closer to end devices. From the perspective of applications, network, cache and compute are underlying enabling resources. How to manage, control and optimize these resources can have significant impacts on application performance.

With rapid population explosion, improving rail transit speed and capacity is strongly desirable around the world. Communication-based train control (CBTC) is an automated train control system using high capacity bidirectional train-ground communications to ensure the safe operation of rail vehicles. This book presents the latest advances in CBTC research. The contributed chapters from leading experts in the field cover different aspects of modelling, analysis, design, testing, management, deployment, and optimization of CBTC systems. Advances in Communications-Based Train Control Systems begins with the background and evolution of train signaling/train control systems. It introduces the main features and architecture of CBTC systems and describes current challenges and successful implementations around the world. Subsequent contributed chapters discuss such key research areas as Nondestructive testing techniques that can be employed to inspect rails and fastening parts New wireless channel modelling techniques for underground tunnels and viaducts Advanced wireless communication systems to improve CBTC communication availability Schemes to integrate train control and train-ground communications by modelling the control system of a group of trains in CBTC as a networked control system Use of cognitive control to improve train control performance, considering both train-ground communication and train control The book includes many supporting illustrations and tables along with a valuable set of references at the end of each chapter. With this book, researchers and practitioners will be well-equipped to advance the research and development in this important field.

With rapid population explosion, improving rail transit speed and capacity is strongly desirable around the world. Communication-based train control (CBTC) is an automated train control system using high capacity bidirectional train-ground communications to ensure the safe operation of rail vehicles. This book presents the latest advances in CBTC research. The contributed chapters from leading experts in the field cover different aspects of modelling, analysis, design, testing, management, deployment, and optimization of CBTC systems. Advances in Communications-Based Train Control Systems begins with the background and evolution of train signaling/train control systems. It introduces the main features and architecture of CBTC systems and describes current challenges and successful implementations around the world. Subsequent contributed chapters discuss such key research areas as Nondestructive testing techniques that can be employed to inspect rails and fastening parts New wireless channel modelling techniques for underground tunnels and viaducts Advanced wireless communication systems to improve CBTC communication availability Schemes to integrate train control and train-ground communications by modelling the control system of a group of trains in CBTC as a networked control system Use of cognitive control to improve train control performance, considering both train-ground communication and train control The book includes many supporting illustrations and tables along with a valuable set of references at the end of each chapter. With this book, researchers and practitioners will be well-equipped to advance the research and development in this important field.

With recent advances in mobile communication technologies, more and more people are accessing cloud computing systems using mobile devices, such as smartphones and tablets. Unlike traditional mobile computing systems with limited capabilities, mobile cloud computing uses the powerful computing and storage resources available in the cloud to provide cutting-edge multimedia and information services. This book discusses the major research advances in mobile cloud computing systems. Contributed chapters from leading experts in this field cover different aspects of modeling, analysis, design, optimization, and architecture of mobile cloud computing systems. Advances in Mobile Cloud Computing Systems begins by discussing the background, features, and available service models of mobile cloud computing. It goes on to describe a mobile cloud computing system with several third party cloud mobile media (CMM) services that offers its services to a telecom operator. In this scenario, the telecom operator acts as broker that can mix and interchange the resources offered by the different CMM service providers. Subsequent contributed chapters discuss such key research areas as Energy-efficient task execution that reduces the energy consumption in both mobile devices and the cloud Design and architecture of a Proximity Cloud that delivers low-latency, bandwidth-efficient end-user services with a global footprint Virtual mobile networks in clouds that enable resource sharing between multiple mobile network operators Software piracy control framework in mobile cloud computing systems designed to prevent mobile application piracy Dynamic configuration of cloud radio access networks (C-RANs) to improve end-to-end TCP throughput performance in next generation wireless networks The book includes many supporting illustrations and tables along with

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.

Cognitive radios (CR) technology is capable of sensing its surrounding environment and adapting its internal states by making corresponding changes in certain operating parameters. CR is envisaged to solve the problems of the limited available spectrum and the inefficiency in the spectrum usage. CR has been considered in mobile ad hoc networks (MANETs), which enable wireless devices to dynamically establish networks without necessarily using a fixed infrastructure. The changing spectrum environment and the importance of protecting the transmission of the licensed users of the spectrum mainly differentiate classical MANETs from CR-MANETs. The cognitive capability and re-configurability of CR-MANETs have opened up several areas of research which have been explored extensively and continue to attract research and development. The book will describe CR-MANETs concepts, intrinsic properties and research challenges of CR-MANETs. Distributed spectrum management functionalities, such as spectrum sensing and sharing, will be presented. The design, optimization and performance evaluation of security issues and upper layers in CR-MANETs, such as transport and application layers, will be investigated.

Cognitive radios (CR) technology is capable of sensing its surrounding environment and adapting its internal states by making corresponding changes in certain operating parameters. CR is envisaged to solve the problems of the limited available spectrum and the inefficiency in the spectrum usage. CR has been considered in mobile ad hoc networks (MANETs), which enable wireless devices to dynamically establish networks without necessarily using a fixed infrastructure. The changing spectrum environment and the importance of protecting the transmission of the licensed users of the spectrum mainly differentiate classical MANETs from CR-MANETs. The cognitive capability and re-configurability of CR-MANETs have opened up several areas of research which have been explored extensively and continue to attract research and development. The book will describe CR-MANETs concepts, intrinsic properties and research challenges of CR-MANETs. Distributed spectrum management functionalities, such as spectrum sensing and sharing, will be presented. The design, optimization and performance evaluation of security issues and upper layers in CR-MANETs, such as transport and application layers, will be investigated.

This book features the major research advances on integrated networking, caching, and computing. Information-centric networking-based caching is one of the promising techniques for future networks. The cloud computing paradigm has been widely adopted to enable convenient, on-demand network access to a shared pool of configurable computing resources. In addition, fog/edge computing is proposed to deploy computing resources closer to end devices. From the perspective of applications, network, cache and compute are underlying enabling resources. How to manage, control and optimize these resources can have significant impacts on application performance.

This book introduces a variety of intelligence phenomena starting from the birth of the universe, including intelligence in physics, intelligence in chemistry, intelligence in biology, intelligence in humans and intelligence in machines. It uncovers the mystery of intelligence to the world and explores the natural phenomenon of intelligence. If understanding intelligence is regarded as a journey of a thousand miles, then this book is the first step to try. In the process of studying the phenomenon of intelligence and the nature of intelligence, our eyes cannot be limited to human intelligence. Instead, one should put our vision beyond human intelligence, consider different things in the universe, reach a new level, and study and explore the phenomenon of intelligence and the essence of intelligence on a new level. By looking at the various phenomena of intelligence since the birth of the universe, readers can see that intelligence is a natural phenomenon, similar to other natural phenomena (e.g., the rolling of rocks and the melting of snow and ice). These phenomena occur to facilitate the stability of the universe, and the phenomenon of intelligence is no exception. The book is divided into 10 chapters, covering matter, energy and space in the origin of the universe, gravity in physics, the principle of least action, dissipative structures in chemistry, entropy increase, maximum entropy production, the definition of life, the emergence of life, the intelligence in plants, the intelligence in animals, the neocortex structure of the brain, the special thinking of human beings, the theory of the brain, artificial intelligence symbolism, connectionism, behaviorism, artificial general intelligence, metaverse, etc. This book can be used as a reference for students and researchers working in the artificial intelligence areas. It is also positioned as a popular science book interested in intelligent phenomena.

With recent advances in mobile communication technologies, more and more people are accessing cloud computing systems using mobile devices, such as smartphones and tablets. Unlike traditional mobile computing systems with limited capabilities, mobile cloud computing uses the powerful computing and storage resources available in the cloud to provide cutting-edge multimedia and information services. This book discusses the major research advances in mobile cloud computing systems. Contributed chapters from leading experts in this field cover different aspects of modeling, analysis, design, optimization, and architecture of mobile cloud computing systems. Advances in Mobile Cloud Computing Systems begins by discussing the background, features, and available service models of mobile cloud computing. It goes on to describe a mobile cloud computing system with several third party cloud mobile media (CMM) services that offers its services to a telecom operator. In this scenario, the telecom operator acts as broker that can mix and interchange the resources offered by the different CMM service providers. Subsequent contributed chapters discuss such key research areas as Energy-efficient task execution that reduces the energy consumption in both mobile devices and the cloud Design and architecture of a Proximity Cloud that delivers low-latency, bandwidth-efficient end-user services with a global footprint Virtual mobile networks in clouds that enable resource sharing between multiple mobile network operators Software piracy control framework in mobile cloud computing systems designed to prevent mobile application piracy Dynamic configuration of cloud radio access networks (C-RANs) to improve end-to-end TCP throughput performance in next generation wireless networks The book includes many supporting illustrations and tables along with

Green Communications and Networking introduces novel solutions that can bring about significant reductions in energy consumption in the information and communication technology (ICT) industry-as well as other industries, including electric power. Containing the contributions of leading experts in the field, it examines the latest research advances in green communications and networking for next-generation wired, wireless, and smart-grid networks. The book presents cutting-edge algorithms, protocols, and network architectures to improve energy efficiency in communication networks. It illustrates the various aspects of modeling, analysis, design, management, deployment, and optimization of algorithms, protocols, and architectures of green communications and networking. The text examines energy-efficient hardware platforms, physical layer, networking, and applications. Containing helpful references in each chapter, it also: Proposes a mechanism for minimizing energy consumption of wireless networks without compromising QoS Reviews recent development in utility communication networks, including advanced metering infrastructure and SCADA Studies energy-efficient rate adaptation in long-distance wireless mesh networks Considers the architectural design of energy-efficient wireline Internet nodes Presents graph-theoretic solutions that can be adopted in an IP network to reduce the number of links used in the network during off-peak periods Outlines a methodology for optimizing time averages in systems with variable length frames Details a demand-based resources trading model for green communications The book introduces a new solution for delivering green last-mile access: broadband wireless access with fiber-connected massively distributed antennas (BWA-FMDA). It also presents a methodology for optimizing time averages in systems with

Green Communications and Networking introduces novel solutions that can bring about significant reductions in energy consumption in the information and communication technology (ICT) industry-as well as other industries, including electric power. Containing the contributions of leading experts in the field, it examines the latest research advances in green communications and networking for next-generation wired, wireless, and smart-grid networks. The book presents cutting-edge algorithms, protocols, and network architectures to improve energy efficiency in communication networks. It illustrates the various aspects of modeling, analysis, design, management, deployment, and optimization of algorithms, protocols, and architectures of green communications and networking. The text examines energy-efficient hardware platforms, physical layer, networking, and applications. Containing helpful references in each chapter, it also: Proposes a mechanism for minimizing energy consumption of wireless networks without compromising QoS Reviews recent development in utility communication networks, including advanced metering infrastructure and SCADA Studies energy-efficient rate adaptation in long-distance wireless mesh networks Considers the architectural design of energy-efficient wireline Internet nodes Presents graph-theoretic solutions that can be adopted in an IP network to reduce the number of links used in the network during off-peak periods Outlines a methodology for optimizing time averages in systems with variable length frames Details a demand-based resources trading model for green communications The book introduces a new solution for delivering green last-mile access: broadband wireless access with fiber-connected massively distributed antennas (BWA-FMDA). It also presents a methodology for optimizing time averages in systems with