Wireless Communications and Networking Technologies – serie

This reference text will benefit readers in enhancing their understanding of the recent technologies, protocols, and challenges in various stages of development of wireless communication and networking. The text discusses the cellular concepts of 4G, 5G, and 6G along with their challenges. It covers topics related to vehicular technology, wherein vehicles communicate with the traffic and the environment around them using short-range wireless signals. The text comprehensively covers important topics including use of the Internet of Things (IoT) in wireless communication, architecture, and protocols. It further covers the role of smart antennas in emerging wireless technologies.The book Discusses advanced techniques used in the field of wireless communication. Covers technologies including network slicing, 5G wireless communication, and TV white space technology. Discusses practical applications including drone delivery systems, public safety, IoT, virtual reality, and smart cities. Covers radio theory and applications for wireless communication with ranges of centimeters to hundreds of meters. Discusses important topics including metamaterials, inductance coupling for loop antennas, bluetooth low energy, wireless security, and wireless sensor networks. Discussing latest technologies including 5G, 6G, IoT, vehicular technology and TV white space technology, this text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANETThe book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

This reference text will benefit readers in enhancing their understanding of the recent technologies, protocols, and challenges in various stages of development of wireless communication and networking. The text discusses the cellular concepts of 4G, 5G, and 6G along with their challenges. It covers topics related to vehicular technology, wherein vehicles communicate with the traffic and the environment around them using short-range wireless signals. The text comprehensively covers important topics including use of the Internet of Things (IoT) in wireless communication, architecture, and protocols. It further covers the role of smart antennas in emerging wireless technologies.The book Discusses advanced techniques used in the field of wireless communication. Covers technologies including network slicing, 5G wireless communication, and TV white space technology. Discusses practical applications including drone delivery systems, public safety, IoT, virtual reality, and smart cities. Covers radio theory and applications for wireless communication with ranges of centimeters to hundreds of meters. Discusses important topics including metamaterials, inductance coupling for loop antennas, bluetooth low energy, wireless security, and wireless sensor networks. Discussing latest technologies including 5G, 6G, IoT, vehicular technology and TV white space technology, this text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANETThe book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security.It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval.The book:Discusses computational algorithms for system modeling and optimization in security perspectiveFocuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologiesExplores a group of practical research problems where security experts can help develop new data-driven methodologiesCovers application on artificial intelligence and wireless communication security risk perspectiveThe text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication.The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication.The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication.The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication.The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.The book:• Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems.• Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms.• Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care.• Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare.This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.The book:• Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems.• Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms.• Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care.• Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare.This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today’s business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data.IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter.Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.

Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today’s business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data.IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter.Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.

This book discusses the various aspects of smart cities and their architecture along with the application of the latest technologies, including the Internet of Things (IoT) and artificial intelligence (AI). The concept of smart cities, their development, technological advancements, and issues related to them are discussed in detail.Smart Cities: Concepts, Practices, and Applications covers numerous topics, including energy utilities and the role of renewable energy for sustainable development, intelligent transport systems, traffic management, sewage and waste management, the impact of smart city development on the social and economic aspects of life, flexible communication technologies utilized in the development of smart cities, e-governance challenges, and implementation in smart cities.FEATURES Discusses the basic architecture of a smart city and its development concept Covers the application of IoT and AI in the development of smart cities Examines the impact of smart city development on social and economic aspects Presents comprehensively intelligent transport systems and traffic managementThis book will be useful for senior undergraduate and graduate students and professionals in electrical engineering, electronics and communication engineering, computer science, and civil engineering.

This book discusses the various aspects of smart cities and their architecture along with the application of the latest technologies, including the Internet of Things (IoT) and artificial intelligence (AI). The concept of smart cities, their development, technological advancements, and issues related to them are discussed in detail.Smart Cities: Concepts, Practices, and Applications covers numerous topics, including energy utilities and the role of renewable energy for sustainable development, intelligent transport systems, traffic management, sewage and waste management, the impact of smart city development on the social and economic aspects of life, flexible communication technologies utilized in the development of smart cities, e-governance challenges, and implementation in smart cities.FEATURES Discusses the basic architecture of a smart city and its development concept Covers the application of IoT and AI in the development of smart cities Examines the impact of smart city development on social and economic aspects Presents comprehensively intelligent transport systems and traffic managementThis book will be useful for senior undergraduate and graduate students and professionals in electrical engineering, electronics and communication engineering, computer science, and civil engineering.

Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security.It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval.The book:Discusses computational algorithms for system modeling and optimization in security perspectiveFocuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologiesExplores a group of practical research problems where security experts can help develop new data-driven methodologiesCovers application on artificial intelligence and wireless communication security risk perspectiveThe text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN’s. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs.This book:Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL modelsExplores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technologyBased on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless systemExplores intelligent route discovering, identification of research problems and its implications to the real worldExplains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanityExplores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN systemThis book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approachesThis book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.This book:Covers emerging technologies of network attacks and management aspectsPresents artificial intelligence techniques for networks and resource optimization, and toward network automation, and securityShowcases recent industrial and technological aspects of next-generation networksIllustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challengesExplains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networksIt is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems.FeaturesCovers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacityDiscusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examplesHighlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port managementExplains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensorsPresents programming tools and platforms for autonomous robotic systemsThe book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.

The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book:Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.

The book presents theoretical and experimental approaches, quantitative and qualitative analyses, and simulations in wireless ad-hoc and sensor networks. It further explains the power and routing optimization in underwater sensor networks, advanced cross-layer framework, challenges and security issues in underwater sensor networks, and the use of machine learning and deep learning techniques for security implementations in wireless ad-hoc and sensor networks.This book:Discusses mobile ad-hoc network routing issues and challenges with node mobility and resource limitationsCovers the internet of vehicles, autonomous vehicle architecture, and design of heterogeneous wireless sensor networksPresents various technologies of ad-hoc networks, use of machine learning, and deep learning techniques in wireless sensor networksIllustrates recent advancements in security mechanisms for information dissemination in mobile ad-hoc networks, vehicular ad-hoc networks, flying ad-hoc networks, and autonomous vehiclesHighlights mathematical modeling and analysis of routing protocols for ad-hoc networks and underwater sensor networksIt is primarily written for undergraduate and graduate students, researchers, and academicians in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communications engineering.

Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.This book:Covers emerging technologies of network attacks and management aspectsPresents artificial intelligence techniques for networks and resource optimization, and toward network automation, and securityShowcases recent industrial and technological aspects of next-generation networksIllustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challengesExplains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networksIt is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology

This book proposes robust solutions for securing a network against intrusions for data privacy and safety. It includes theoretical models, commercialization of validated models, and case studies.Explains the integration of technologies such as artificial intelligence, the Internet of Things, and blockchain for network security in a 6G communication system.Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency.Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management.Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems.Presents light and deep secure algorithms to detect fake incidents in wireless communication.The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and computer science.

The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN’s. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs.This book:Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL modelsExplores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technologyBased on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless systemExplores intelligent route discovering, identification of research problems and its implications to the real worldExplains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanityExplores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN systemThis book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approachesThis book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

This book aims to provide a comprehensive exploration of the integration of machine learning and deep learning algorithms into the field of autonomous vehicles and advanced driver assistance systems. It also highlights the use of various sensing technologies such as LiDAR, radar, cameras, and ultrasonic sensors.This book presents machine learning techniques relevant to autonomous systems, with a focus on deep learning, neural networks, and reinforcement learning, providing readers with a solid understanding of these foundational concepts. It further includes real-world applications, offering insights into how these cutting-edge techniques are being employed by industry leaders and startups to improve the perception capabilities of autonomous vehicles.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and automotive engineering.

The book presents theoretical and experimental approaches, quantitative and qualitative analyses, and simulations in wireless ad-hoc and sensor networks. It further explains the power and routing optimization in underwater sensor networks, advanced cross-layer framework, challenges and security issues in underwater sensor networks, and the use of machine learning and deep learning techniques for security implementations in wireless ad-hoc and sensor networks.This book:Discusses mobile ad-hoc network routing issues and challenges with node mobility and resource limitationsCovers the internet of vehicles, autonomous vehicle architecture, and design of heterogeneous wireless sensor networksPresents various technologies of ad-hoc networks, use of machine learning, and deep learning techniques in wireless sensor networksIllustrates recent advancements in security mechanisms for information dissemination in mobile ad-hoc networks, vehicular ad-hoc networks, flying ad-hoc networks, and autonomous vehiclesHighlights mathematical modeling and analysis of routing protocols for ad-hoc networks and underwater sensor networksIt is primarily written for undergraduate and graduate students, researchers, and academicians in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communications engineering.

The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems.FeaturesCovers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacityDiscusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examplesHighlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port managementExplains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensorsPresents programming tools and platforms for autonomous robotic systemsThe book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.

The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book:Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.