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This publication represents the best thinking and solutions to a myriad of contemporary issues in wireless networks. Coverage includes wireless LANs, multihop wireless networks, and sensor networks. Readers are provided with insightful guidance in tackling such issues as architecture, protocols, modeling, analysis, and solutions. The book also highlights economic issues, market trends, emerging, cutting-edge applications, and new paradigms, such as middleware for RFID, smart home design, and "on-demand business" in the context of pervasive computing. Mobile, Wireless, and Sensor Networks is divided into three distinct parts: * Recent Advances in Wireless LANs and Multihop Wireless Networks * Recent Advances and Research in Sensor Networks * Middleware, Applications, and New Paradigms In developing this collected work, the editors have emphasized two objectives: * Helping readers bridge the gap and understand the relationship between practice and theory * Helping readers bridge the gap and understand the relationships and common links among different types of wireless networks Chapters are written by an international team of researchers and practitioners who are experts and trendsetters in their fields. Contributions represent both industry and academia, including IBM, National University of Singapore, Panasonic, Intel, and Seoul National University. Students, researchers, and practitioners who need to stay abreast of new research and take advantage of the latest techniques in wireless communications will find this publication indispensable. Mobile, Wireless, and Sensor Networks provides a clear sense of where the industry is now, what challenges it faces, and where it is heading.
The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.
Recent technology trends involving the combination of mobile networks and cloud computing have offered new chances for mobile network providers to use specific carrier-cloud services. These advancements will enhance the utilization of the mobile cloud in industry and corporate settings. Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications is a fundamental source for the advancement of knowledge, application, and practice in the interdisciplinary areas of mobile network and cloud computing. By addressing innovative concepts and critical issues, this book is essential for researchers, practitioners, and students interested in the emerging field of vehicular wireless networks.
Now diffused among end-user devices in mobile and wireline networks, the "cloud" is becoming the "fog." This book focuses on the challenges and solutions related to cloud and fog computing for 5G mobile networks and presents novel approaches to the frameworks and schemes that carry out storage, communication, computation, and control in the fog/cloud paradigm. These novel approaches support the Internet of Things (IoT), the efficient provision of heterogeneous 5G mobile services, and emerging applications over future wireless network architectures. Elaborating on the emerging mobile networking paradigms for the 2020 5G time frame, the book discusses recent and new developments, prompting future directions on the theories, practices, standards, and strategies related to 5G mobile. It also presents new connectivity services that are highly scalable and programmable, and it highlights recent developments related to 5G mobile systems. Topics covered include: * Network storage * Internet of Things (IoT) * Heterogeneous 5G mobile services * 5G green mobile networks * Cloudlet-based architectures in mobile cloud computing environments * Software-defined networking (SDN) and network functions virtualization (NFV) * FOG-enabled navigation system * FIWARE and IoT technologies * Real time video distribution * Hybrid resource sharing * Energy efficiency in cognitive radio networks * Edge computing in future 5G mobile networks * Virtual network functions over cloud infrastructures
This is volume 1 of a 2 volume set. This volume focuses on "channel estimation and equalization."
By 2020, if not before, mobile computing and wireless systems are expected to enter the fifth generation (5G), which promises evolutionary if not revolutionary services. What those advanced services will look like, sound like, and feel like is the theme of the book Advances in Mobile Computing and Communications: Perspectives and Emerging Trends in 5G Networks. The book explores futuristic and compelling ideas in latest developments of communication and networking aspects of 5G. As such, it serves as an excellent guide for advanced developers, communication network scientists, researchers, academicians, and graduate students. The authors address computing models, communication architecture, and protocols based on 3G, LTE, LTE-A, 4G, and beyond. Topics include advances in 4G, radio propagation and channel modeling aspects of 4G networks, limited feedback for 4G, and game theory application for power control and subcarrier allocation in OFDMA cellular networks. Additionally, the book covers millimeter-wave technology for 5G networks, multicellular heterogeneous networks, and energy-efficient mobile wireless network operations for 4G and beyond using HetNets. Finally, the authors delve into opportunistic multiconnect networks with P2P WiFi and cellular providers and video streaming over wireless channels for 4G and beyond.
This book focuses on the current hottest issues from the lowest layers to the upper layers of wireless communication networks and provides "real-time" research progress on these issues. The authors have made every effort to systematically organize the information on these topics to make it easily accessible to readers of any level. This book also maintains the balance between current research results and their theoretical support. In this book, a variety of novel techniques in wireless communications and networks are investigated. The authors attempt to present these topics in detail. Insightful and reader-friendly descriptions are presented to nourish readers of any level, from practicing and knowledgeable communication engineers to beginning or professional researchers. All interested readers can easily find noteworthy materials in much greater detail than in previous publications and in the references cited in these chapters.
This textbook reviews the theory, applications, and latest breakthroughs in Delay Tolerant Networks (DTNs). Presenting a specific focus on Opportunistic Mobile Networks (OMNs), the text considers the influence of human aspects, and examines emerging forms of inter-node cooperation. Features: contains review terms and exercises in each chapter, with the solutions and source code available at an associated website; introduces the fundamentals of DTNs, covering OMNs, PSNs, and MOONs; describes the ONE simulator, explaining how to set up a simulation project; provides detailed insights into the development and testing of protocols, together with a set of best practices for increased productivity and optimized performance; examines human aspects in the context of communication networks, from human-centric applications to the impact of emotion on human-network interplay; proposes various schemes for inter-node cooperation in DTNs/OMNs; presents a detailed discussion on aspects of heterogeneity in DTNs.