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"The Future of Mobile Computing takes readers on a comprehensive journey through the rapidly evolving landscape of mobile technologies. Beginning with a detailed examination of foundational concepts in the field, the book provides insights into the transformative technology of edge computing. The subsequent chapters cover various aspects of mobile computing, addressing topics such as sustainable farming solutions, the latest trends in mobile hardware and design, and the significant role of artificial intelligence in mobile contexts. The book focuses on intelligent mobile assistants, emphasizing the impact of machine learning. Readers will find insights into eco-friendly innovations shaping sustainable mobile technologies and the practical application of mobile computing in smart cities. The book takes a close look at addressing privacy and security challenges, offering robust strategies to safeguard user data. Additional chapters provide information on the transformative potential of augmented reality and virtual reality in modern mobile computing environments. Innovative approaches, such as multimodal AI-embedded blockchain security for smart student monitoring, are explored, alongside a unique intersection of mobile computing and mental health analysis. The book concludes with a forward-looking exploration of transformative technologies and their integration with mobile computing, providing valuable insights into navigating the innovation frontier. Overall, the book serves as an accessible and essential resource for individuals seeking a comprehensive understanding of mobile technologies in the years ahead"--

Mobile computing --- Forecasting. --- Mobile computing.

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Create iOS and Android apps with Flutter using just one codebase. App development on multiple platforms has historically been difficult and complex. This book breaks down complex concepts and tasks into easily digestible segments with examples, pictures, and hands-on labs with starters and solutions. In doing so, you'll develop a basic understanding of the Dart programming language; the entire Flutter development toolchain; the differences between stateful and stateless widgets; and a working knowledge of the architecture of apps. All the most important parts of app development with Flutter are covered in this book. Work with themes and styles. Develop custom widgets. Teach your app to respond to gestures like taps, swipes, and pinches. Design, create and control the layout of your app. Create tools to handle form data entry from users. And ultimately create killer multiscreen apps with navigation, menus, and tabs. Flutter is Google's new framework for creating mobile apps that run on iOS and Android phones both.You had to be a super-developer to write apps for iOS or Android alone. But writing for both? Forget about it! You had to be familiar with Swift, Java/Kotlin, Xcode, Eclipse, and a bunch of other technologies simultaneously. Beginning App Development with Flutter simplifies the entire process.

Mobile computing. --- Apple computer. --- Mobile Computing. --- Apple and iOS.

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Edge computing has been identified as one of the key technologies for 5G networks and beyond due to two prominent advantages: low network latency and reduced core network load. By empowering cloud capabilities and IT service environments at the network edge, edge computing can well support applications of 5G and beyond, such as augmented/virtual reality (AR/VR), vehicular network (ultra-reliable low-latency communication services)，Internet of Things (massive machine type communication services), and mobile high-definition video (enhanced mobile broadband services). Therefore, edge computing has attracted the attention of both industry and academia since its emergence. This book highlights the progress of 5G edge computing in both industry and academia according to our long-term efforts, including the current practice of public edge providers, the research process of edge computing from academia, the integration of edge computing with 5G, and the future visions of edge computing in the 6G era. From this book, the readers can benefit from: (1) the first comprehensive measurement study on a leading public edge platform, NEP (next-generation edge platform); 2) a clear and in-depth introduction of the key technologies of 5G edge computing; (3) the latest progress of 5G-integrated edge computing; and (4) pioneering exploration of 6G edge computing based on Tiansuan constellation – an open satellite-terrestrial integrated platform. Both the researchers from academia or practitioners from industry can benefit significantly from this book.

Mobile computing. --- Cloud Computing. --- Algorithms. --- Electronic digital computers --- Computational complexity. --- Mobile Computing. --- Design and Analysis of Algorithms. --- System Performance and Evaluation. --- Computational Complexity. --- Evaluation.

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Time flies since the debut of this book. In the past ten years, localization technology has evolved from small saplings into towering trees. Robots and drones with autonomous positioning and navigation capabilities, once considered unreachable fantasies, have gradually become a reality. However, while we are being amazed at the groundbreaking changes brought about by technology, as researchers, we still need to remain acutely attentive to the current limitations of localization. Some significant challenges still impede the widespread deployment. For example, traditional Wi-Fi fingerprint-based wireless localization, due to various challenges in fingerprint database collection and maintenance, has remained stay in the laboratory, and even when using smartphones for localization in malls, we still cannot achieve the outdoor GPS-like experience. The list goes on and on. Against this backdrop, the reissue of this book aims to more comprehensively reflect the latest developments in localization technology. We have added introductions to emerging technologies such as passive high-precision localization based on wireless signal CSl and autonomous localization for smart devices. Additionally, we have integrated and further streamlined technical chapters that now appear outdated adapting to the pace of the times. This book aims to provide a comprehensive and in-depth view of location-awareness technology in today’s popular wireless networks. However, the obvious diversity of networks, from short-range Bluetooth to long-range telecommunication networks, makes it very challenging to organize materials. Although general principles exist, the implementation differs from network to network and application to application. The book can serve as a guidebook for the technicians and practitioners in the industry of location systems. They can expect to obtain a comprehensive understanding of the field, in order to compare and select localization solutions fulfilling various application requirements. Abundant references in the book open up a broader domain for advanced study. In addition, the book is tailored toward a textbook for college researchers and graduate students.

Location-based services. --- Wireless localization. --- Wireless LANs --- Wireless communication systems. --- Technological innovations. --- Mobile computing. --- Computer systems. --- Cooperating objects (Computer systems). --- Mobile Computing. --- Computer System Implementation. --- Cyber-Physical Systems.

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This book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications. It focuses on the state-of-the-art IoV with regard to three major directions, namely networking, cooperation, and intelligence, including advanced wireless communication technologies, algorithm theory, optimization mechanisms, and AI technologies. In addition, the book includes a number of case studies with system prototype implementation and hands-on experiments in IoV, making it suitable both as a technical reference work for professionals and as a textbook for graduate students.

Mobile computing. --- Cooperating objects (Computer systems). --- Mathematical optimization. --- Algorithms. --- Internet of things. --- Machine learning. --- Mobile Computing. --- Cyber-Physical Systems. --- Discrete Optimization. --- Design and Analysis of Algorithms. --- Internet of Things. --- Machine Learning.