Advances In Computer Communications And Networks From Green Mobile Pervasive Networking To Big Data Computing

Recent developments in computer communications and networks have enabled the deployment of exciting new areas such as Internet of Things and collaborative big data analysis. The design and implementation of energy efficient future generation communication and networking technologies also require the clever research and development of mobile, pervasive, and large-scale computing technologies. Advances in Computer Communications and Networks: from Green, Mobile, Pervasive Networking to Big Data Computing studies and presents recent advances in communication and networking technologies reflecting the state-of-the-art research achievements in novel communication technology and network optimization. Technical topics discussed in the book include: Data Center NetworksMobile Ad Hoc NetworksMultimedia NetworksInternet of ThingsWireless SpectrumNetwork Optimization.This book is ideal for personnel in computer communication and networking industries as well as academic staff and collegial, master, Ph.D. students in computer science, computer engineering, electrical engineering and telecommunication systems.

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

Pervasive Computing and Networking aim at providing ubiquitous, ever-present, adaptable, smart, enveloping and immersive environments in which computing components and humans can interact regardless of the location. The combination of an abundance of computational power of the processors and the communication bandwidth provided by the wireless and mobile networking everywhere and all the time makes such environments within the reach of current technology. Yet, to realize the full potential of such environments, many technical and economical challenges needs to be overcome. These challenges and the perspective on the seminal directions of the research in this area were the subject of the Workshop for Pervasive Computing and Networking at Rensselaer Polytechnic Institute, Troy, NY, USA. This book presents chapters based on presentations made at the workshop by leaders in the field. The scope of Advances in Pervasive Computing and Networking ranges from fundamental theory of pervasive computing and networking to crucial challenges and emerging applications. Such seminal topics as a scalable, self-organizing technology for sensor networks, the fundamental relationship between the achievable capacity and delay in mobile wireless networks, the role of self-optimization in sensor networks or similarities and differences between computer networks and their biological counterparts are the subject of the first group of chapters. The next group of chapters covers communication issues, such as cooperative communication in mobile, wireless and sensor networks, methods for maximizing aggregate throughput in 802.11 mesh networks with a physical carrier, and self-configuring location discovery systems for smart environments. The book closes with chapters focusing on sensor network emerging applications such as smart and safe buildings, a design for a distributed transmitter for reachback based on radar signals sensing and two-radio multi-channel clustering.

Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.

With the ubiquitous diffusion of the IoT, Cloud Computing, 5G and other evolved wireless technologies into our daily lives, the world will see the Internet of the future expand ever more quickly. Driving the progress of communications and connectivity are mobile and wireless technologies, including traditional WLANs technologies and low, ultra-power, short and long-range technologies. These technologies facilitate the communication among the growing number of connected devices, leading to the generation of huge volumes of data. Processing and analysis of such "big data" brings about many opportunities, as well as many challenges, such as those relating to efficient power consumptions, security, privacy, management, and quality of service. This book is about the technologies, opportunities and challenges that can drive and shape the networks of the future. Written by established international researchers and experts, Networks of the Future answers fundamental and pressing research challenges in the field, including architectural shifts, concepts, mitigation solutions and techniques, and key technologies in the areas of networking. The book starts with a discussion on Cognitive Radio (CR) technologies as promising solutions for improving spectrum utilization, and also highlights the advances in CR spectrum sensing techniques and resource management methods. The second part of the book presents the latest developments and research in the areas of 5G technologies and Software Defined Networks (SDN). Solutions to the most pressing challenges facing the adoption of 5G technologies are also covered, and the new paradigm known as Fog Computing is examined in the context of 5G networks. The focus next shifts to efficient solutions for future heterogeneous networks. It consists of a collection of chapters that discuss self-healing solutions, dealing with Network Virtualization, QoS in heterogeneous networks, and energy efficient techniques for Passive Optical Networks and Wireless Sensor Networks. Finally, the areas of IoT and Big Data are discussed, including the latest developments and future perspectives of Big Data and the IoT paradigms.

Pervasive Computing and Networking aim at providing ubiquitous, ever-present, adaptable, smart, enveloping and immersive environments in which computing components and humans can interact regardless of the location. The combination of an abundance of computational power of the processors and the communication bandwidth provided by the wireless and mobile networking everywhere and all the time makes such environments within the reach of current technology. Yet, to realize the full potential of such environments, many technical and economical challenges needs to be overcome. These challenges and the perspective on the seminal directions of the research in this area were the subject of the Workshop for Pervasive Computing and Networking at Rensselaer Polytechnic Institute, Troy, NY, USA. This book presents chapters based on presentations made at the workshop by leaders in the field. The scope of Advances in Pervasive Computing and Networking ranges from fundamental theory of pervasive computing and networking to crucial challenges and emerging applications. Such seminal topics as a scalable, self-organizing technology for sensor networks, the fundamental relationship between the achievable capacity and delay in mobile wireless networks, the role of self-optimization in sensor networks or similarities and differences between computer networks and their biological counterparts are the subject of the first group of chapters. The next group of chapters covers communication issues, such as cooperative communication in mobile, wireless and sensor networks, methods for maximizing aggregate throughput in 802.11 mesh networks with a physical carrier, and self-configuring location discovery systems for smart environments. The book closes with chapters focusing on sensor network emerging applications such as smart and safe buildings, a design for a distributed transmitter for reachback based on radar signals sensing and two-radio multi-channel clustering.

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

This book presents research results on data dissemination in mobile networks and peer-to-peer systems for mobile devices. The main focus is a novel resource-sharing mechanism for mobile devices that introduces a new paradigm of information-sharing cooperation among mobile devices not necessarily connected to the internet. The book is geared to the needs of researchers and practitioners in industry, and is also suitable for advanced-level students in computer science and electrical engineering.