Wireless Power Transfer (WPT) is considered to be an innovative game changing technology. The same radio wave and electromagnetic field theory and technology for wireless communication and remote sensing is applied for WPT. In conventional wireless communication systems, information is "carried" on a radio wave and is then transmitted over a distance. In WPT however, the energy of the radio wave itself is transmitted over a distance. Wireless communication technology has proven to be extremely useful, however in future it should be even more useful to apply both wireless communication and wireless power technologies together. There are various WPT technologies, e.g. inductive near field WPT, resonance coupling WPT, WPT via radio waves, and laser power transfer. Recent Wireless Power Transfer Technologies via Radio Waves focusses on recent technologies and applications of the WPT via radio waves in far field. The book also covers the history, and future, of WPT via radio waves, as well as safety, EMC and coexistence of radio waves for WPT. Technical topics discussed in the book include: - Radio Wave Generation - Radio Wave Amplification with Solid States Circuit and Microwave Tubes - Antenna and Beam Forming Technologies - Radio Wave Conversion/Rectification to Electricity - Battery-less Sensor Applications toward Internet of Things (IoT) - Solar Power Satellite Application - Safety, EMC, Coexistence of Radio Waves for the WPT WPT is an old technology based on the basic theory of radio waves, however WPT is also a state-of-the-art technology for the latest applications in IoT, sensor networks, wireless chargers for mobile phones, and solar power satellite. The theory behind these technologies, as well as applications, are explained in this book.

As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction with the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of the CyberPhysical System (CPS). CyberPhysical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today's levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints. CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale user cases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on: * Decision making for large scale CPS * Modeling of CPS with emphasis at the control mechanisms * Hardware/software implementation of the control mechanisms * Fault-tolerant and reliability issues for the control mechanisms * CyberPhysical user-cases that incorporate challenging decision making

This book shows how to build a "INFelecPHY GPS Unit" (IEP-GPS) tracking system for fleet management that is based on 3G and GPRS modules. This model should provide reliability since it deals with several protocols: 1) HTTP and HTTPS to navigate, download and upload in real time the information to a web server, 2) FTTP and FTTPS to handle in a non-real time the files to the web application, and 3) SMTP and POP3 to send and receive email directly from the unit in case of any alert. Similar to a mobile device, but without screen for display, it is multifunctional because it links to a GPRS module, a camera, a speaker, headphone, a keypad and screen.

Research in information, communications and signal processing has brought about new services, applications and functions in a large number of fields which include consumer electronics, biomedical devices and defence. These applications play an important role in advancing technologies to enhance human life in general. Recent Advances in Information, Communications and Signal Processing aims to give students, researchers, and engineers information pertaining to recent advances in these fields. In terms of research in signal processing topics, the two chapters included in this book have a strong emphasis on advances in algorithmic development in the biomedical, and human-computer interfaces domain areas. More specifically, the use of deep learning for placental maturity staging is discussed as well as the use of vibration analysis for localising impacts on surfaces for human-computer applications. In terms of communications signal processing, advances in new wireless communication such as NOMA (non-orthogonal multiple access) and millimetre-wave antenna design for 5G cellular mobile radio, as well as innovations in LDPC (low density parity check code) decoding and networking coding, are featured.

Chaotic Signals in Digital Communications combines fundamental background knowledge with state-of-the-art methods for using chaotic signals and systems in digital communications. The book builds a bridge between theoretical works and practical implementation to help researchers attain consistent performance in realistic environments. It shows the possible shortcomings of the chaos-based communication systems proposed in the literature, particularly when they are subjected to non-ideal conditions. It also presents a toolbox of techniques for researchers working to actually implement such systems. A Combination of Tutorials and In-Depth, Cutting-Edge Research Featuring contributions by active leading researchers, the book begins with an introduction to communication theory, dynamical systems, and chaotic communications suitable for those new to the field. This lays a solid foundation for the more applied chapters that follow. A Toolbox of Techniques-Including New Ways to Tackle Channel Imperfections The book covers typical chaos communication methods, namely chaotic masking, chaotic modulation, chaotic shift key, and symbolic message bearing, as well as bidirectional communication and secure communication. It also presents novel methodologies to deal with communication channel imperfections. These tackle band-limited channel chaos communication, radio channels with fading, and the resistance of a special chaotic signal to multipath propagations. In addition, the book addresses topics related to engineering applications, such as optical communications, chaotic matched filters and circuit implementations, and microwave frequency-modulated differential chaos shift keying (FM-DCSK) systems. Insights for Both Theoretical and Experimental Researchers Combining theory and practice, this book offers a unique perspective on chaotic communication in the context of non-ideal conditions. Written for theoretical and experimental researchers, it tackles the practical issues faced in implementing chaos-based signals and systems in digital communications applications.

Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.

The desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks presents recent advances in developing algorithms for target localization and tracking, reflecting the state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements. Technical topics discussed in the book include: Centralized RSS-AoA-based Target Localization Distributed RSS-AoA-based Target Localization RSS-AoA-based Target Tracking via Maximum A Posteriori Estimator RSS-AoA-based Target Tracking via Kalman Filter RSS-AoA-based via Sensor Navigation This book is of interest for personnel in telecommunications and surveillance industries, military, smart systems, as well as academic staff and postgraduate/research students in telecommunications, signal processing, and non-smooth and convex optimization.

Although valued for its ability to allow teams to collaborate and foster coalitional behaviors among the participants, game theory's application to networking systems is not without challenges. Distributed Strategic Learning for Wireless Engineers illuminates the promise of learning in dynamic games as a tool for analyzing network evolution and underlines the potential pitfalls and difficulties likely to be encountered. Establishing the link between several theories, this book demonstrates what is needed to learn strategic interaction in wireless networks under uncertainty, randomness, and time delays. It addresses questions such as: How much information is enough for effective distributed decision making? Is having more information always useful in terms of system performance? What are the individual learning performance bounds under outdated and imperfect measurement? What are the possible dynamics and outcomes if the players adopt different learning patterns? If convergence occurs, what is the convergence time of heterogeneous learning? What are the issues of hybrid learning? How can one develop fast and efficient learning schemes in scenarios where some players have more information than the others? What is the impact of risk-sensitivity in strategic learning systems? How can one construct learning schemes in a dynamic environment in which one of the players do not observe a numerical value of its own-payoffs but only a signal of it? How can one learn "unstable" equilibria and global optima in a fully distributed manner? The book provides an explicit description of how players attempt to learn over time about the game and about the behavior of others. It focuses on finite and infinite systems, where the interplay among the individual adjustments undertaken by the different players generates different learning dynamics, heterogeneous learning, risk-sensitive learning, and hybrid dynamics.

Since publication of the first edition of Sensor Array Signal Processing in 2000, the field it heralded has come of age. Sensor arrays helped usher in the age of wireless communication by meeting the increasing capacity requirements of ever growing wireless networks, but that is only one example of the number of uses served by this valuable technology across any number of fields. Extensively updated and expanded, Sensor Array Signal Processing, Second Edition covers a wide range of interrelated topics in array processing to provide an introduction to the field that one will not find in the literature. The book introduces new developments in the use of sensors in wireless networks and the use of distributed sensors for localization. It unravels layers of complexity to explore underlying basic principles of array signal processing, focusing on the common threads that exist in wavefield analysis, rather than on particular applications. Following an introduction to the basic equations governing different wavefields, the text provides updated coverage on current topics of interest. It analyzes various types of sensor configurations; focusing on those most useful for understanding array systems in practice - uniform linear and circular arrays. Fully updated with over 150 new pages, this new edition: Includes new chapters - emphasizing the use of sensor arrays in wireless communication and localization Adds new exercises and examples to the end of each chapter Provides information on emerging topics covering, distributed sensor array, multi-component sensors, space-time processing, azimuth/elevation estimation, wideband adaptive beamformation, and frequency invariant beamformation An invaluable tool for self-study, this book provides those working in or interested in medical imaging, astronomy, radar, communications, sonar, seismology or any field that studies propagating wavefields, with a highly accessible guide. It describes each concept in precise mathematical language complete with numerical examples, detailed illustrations, and practice exercises at the end of each chapter to reinforce concepts. As with the first edition, this volume also meets the needs of professors wishing to adopt the book for graduate-level courses in telecommunications and electrical engineering.

This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework of multi-armed bandit (MAB). The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and uncertain heterogeneous wireless networks under the framework of markov decision process (MDP). The third part (chapter 6 and 7) focuses on how to meet heterogeneous user demand for multiple users inlarge-scale networks under the framework of game theory. Efficient RL algorithms with practical constraints and considerations are proposed to optimize QoE for realizing intelligent online network selection for future mobile networks. This book is intended as a reference resource for researchers and designers in resource management of 5G networks and beyond.

The book introduces optical wave propagation in the irregular turbulent atmosphere and the relations to laser beam and LIDAR applications for both optical communication and imaging. It examines atmosphere fundamentals, structure, and content. It explains specific situations occurring in the irregular atmosphere and for specific natural phenomena that affect optical ray and laser beam propagation. It emphasizes how to use LIDAR to investigate atmospheric phenomena and predict primary parameters of the irregular turbulent atmosphere and suggests what kinds of optical devices to operate in different atmospheric situations to minimize the deleterious effects of natural atmospheric phenomena.

Building Wireless Sensor Networks: Application to Routing and Data Diffusion discusses challenges involved in securing routing in wireless sensor networks with new hybrid topologies. An analysis of the security of real time data diffusion-a protocol for routing in wireless sensor networks-is provided, along with various possible attacks and possible countermeasures. Different applications are introduced, and new topologies are developed. Topics include audio video bridging (AVB) switched Ethernet, which uses the representation of a network of wireless sensors by a grayscale image to construct routing protocols, thereby minimizing energy consumption and data sharing in vehicular ad-hoc networks. Existing wireless networks aim to provide communication services between vehicles by enabling the vehicular networks to support wide range applications. New topologies are proposed first, based on the graphiton models, then the wireless sensor networks (WSN) based on the IEEE 802.15.4 standard (ZigBee sensors, and finally the Pancake graphs as an alternative to the Hypercube for interconnecting processors in parallel computer networks.

- Concentrates on the sustainable applications of the IoT and CPS Forensics across multiple latest computational knowledge domains. - Covers the feasible and practical collaboration of IoT and CPS with the latest Sustainable Smart Computing Technologies. - Ideally designed for policymakers, students, researchers, academicians, and professionals who are looking for current research that is interested in exploring and implementing IoT and CPS Forensics strategies.

An authoritative collection of research papers and surveys, Emerging Wireless Networks: Concepts, Techniques, and Applications explores recent developments in next-generation wireless networks (NGWNs) and mobile broadband networks technologies, including 4G (LTE, WiMAX), 3G (UMTS, HSPA), WiFi, mobile ad hoc networks, mesh networks, and wireless sensor networks. Focusing on improving the performance of wireless networks and provisioning better quality of service and quality of experience for users, it reports on the standards of different emerging wireless networks, applications, and service frameworks. The book begins by appraising the management challenges in emerging wireless networks. It examines the state-of-the-art in mobility management for IP-based mobile networks, at both the network and link layers. Proposing an integrated network architecture design for NGWNs-including wireless local, metropolitan, and wide area networks-it analyzes WLAN/3G network convergence and advanced mobility features based on the IP Multimedia Subsystem (IMS) architecture. It highlights the challenges and issues related to mobile virtual private networks, and also: Examines the emerging mobile broadband wireless standards such as IEEE 802.16 and LTE Introduces a mechanism that provides service continuity to end-users in self-organizing IP Multimedia Subsystem environments Considers the challenges, solutions, and services of vehicular communication networks Unveils a new transmission paradigm (network coding) to improve the performance of the transmission control protocol. The book presents a novel distributed scheme based on the stochastic optimization formulation of the network selection problem for heterogeneous wireless networks by using cognitive radio networks concepts. Describing the issues and schemes for network selection and congestion avoidance in multi-access networks, it supplies you with a clear perspective of where the technology is headed and where future opportunities might be found for mobile broadband technologies.

The Institute of Electrical and Electronics Engineers (IEEE) Communications Society designed the IEEE wireless communication engineering technologies (WCET) certification program to address the wireless industry's growing need for communications professionals with practical problem-solving skills in real-world situations. Individuals who achieve this prestigious certification are recognized as possessing the required knowledge, skill, and abilities to meet wireless challenges in various industry, business, corporate, and organizational settings. Presenting contributions from 50 wireless communications experts from all corners of the world, Get Certified: A Guide to Wireless Communication Engineering Technologies provides an authoritative review of the seven areas of expertise covered on WCET exam. It supplies cutting-edge coverage of the broad range of topics related to wireless communications to facilitate the technical competency required to achieve certification. The text outlines industry agreements, standards, policies, and regulations including licenses and permits, health and safety, and compliance. With coverage ranging from basic concepts to research-grade material and future directions, the book provides a general overview of the evolution of wireless technologies, their impact on the profession, and common professional best practices. The book's well-structured presentation along with suggestions for further information and study, make it an indispensible guide for attaining WCET certification and a comprehensive source of reference for wireless professionals to keep pace with ever-evolving technology and standards in the field.

The collaborative nature of industrial wireless sensor networks (IWSNs) brings several advantages over traditional wired industrial monitoring and control systems, including self-organization, rapid deployment, flexibility, and inherent intelligent processing. In this regard, IWSNs play a vital role in creating more reliable, efficient, and productive industrial systems, thus improving companies' competitiveness in the marketplace. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards examines the current state of the art in industrial wireless sensor networks and outlines future directions for research. What Are the Main Challenges in Developing IWSN Systems? Featuring contributions by researchers around the world, this book explores the software and hardware platforms, protocols, and standards that are needed to address the unique challenges posed by IWSN systems. It offers an in-depth review of emerging and already deployed IWSN applications and technologies, and outlines technical issues and design objectives. In particular, the book covers radio technologies, energy harvesting techniques, and network and resource management. It also discusses issues critical to industrial applications, such as latency, fault tolerance, synchronization, real-time constraints, network security, and cross-layer design. A chapter on standards highlights the need for specific wireless communication standards for industrial applications. A Starting Point for Further Research Delving into wireless sensor networks from an industrial perspective, this comprehensive work provides readers with a better understanding of the potential advantages and research challenges of IWSN applications. A contemporary reference for anyone working at the cutting edge of industrial automation, communication systems, and networks, it will inspire further exploration in this promising research area.

With the proliferation of mobile devices and hearing devices, including hearing aids and cochlear implants, there is a growing and pressing need to design algorithms that can improve speech intelligibility without sacrificing quality. Responding to this need, Speech Enhancement: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve these problems. Updated and expanded, this second edition of the bestselling textbook broadens its scope to include evaluation measures and enhancement algorithms aimed at improving speech intelligibility. Fundamentals, Algorithms, Evaluation, and Future Steps Organized into four parts, the book begins with a review of the fundamentals needed to understand and design better speech enhancement algorithms. The second part describes all the major enhancement algorithms and, because these require an estimate of the noise spectrum, also covers noise estimation algorithms. The third part of the book looks at the measures used to assess the performance, in terms of speech quality and intelligibility, of speech enhancement methods. It also evaluates and compares several of the algorithms. The fourth part presents binary mask algorithms for improving speech intelligibility under ideal conditions. In addition, it suggests steps that can be taken to realize the full potential of these algorithms under realistic conditions. What's New in This Edition Updates in every chapter A new chapter on objective speech intelligibility measures A new chapter on algorithms for improving speech intelligibility Real-world noise recordings (on downloadable resources) MATLAB (R) code for the implementation of intelligibility measures (on downloadable resources) MATLAB and C/C++ code for the implementation of algorithms to improve speech intelligibility (on downloadable resources) Valuable Insights from a Pioneer in Speech Enhancement Clear and concise, this book explores how human listeners compensate for acoustic noise in noisy environments. Written by a pioneer in speech enhancement and noise reduction in cochlear implants, it is an essential resource for anyone who wants to implement or incorporate the latest speech enhancement algorithms to improve the quality and intelligibility of speech degraded by noise. Includes downloadable resources with Code and Recordings The downloadable resources provide MATLAB implementations of representative speech enhancement algorithms as well as speech and noise databases for the evaluation of enhancement algorithms.

This book introduces typical inertial devices and inertial-based integrated navigation systems, gyro noise suppression, gyro temperature drift error modeling compensation, inertial-based integrated navigation systems under discontinuous observation conditions, and inertial-based brain integrated navigation systems. Integrated navigation is the result of the development of modern navigation theory and technology. The inertial navigation system has the advantages of strong autonomy, high short-term accuracy, all-day time, all weather, and so on. And it has been applied in most integrated navigation systems. Among them, the information processing of inertial-based integrated navigation system is the core technology. Due to the effect of the device mechanism and working environment, there are errors in the output information of the inertial-based integrated navigation system, including gyroscope noise, temperature drift, and discontinuous observations, which will seriously reduce the accuracy and robustness of the system. And the book helps readers to solve these problems. The intelligent information processing technology involved is equipped with simulation verification, which can be used as a reference for undergraduate, graduate, and Ph.D. students, and also scientific researchers or engineers engaged in navigation-related specialties.

Location-Based Services Handbook: Applications, Technologies, and Security is a comprehensive reference containing all aspects of essential technical information on location-based services (LBS) technology. With broad coverage ranging from basic concepts to research-grade material, it presents a much-needed overview of technologies for positioning and localizing, including range- and proximity-based localization methods, and environment-based location estimation methods. Featuring valuable contributions from field experts around the world, this book addresses existing and future directions of LBS technology, exploring how it can be used to optimize resource allocation and improve cooperation in wireless networks. It is a self-contained, comprehensive resource that presents: A detailed description of the wireless location positioning technology used in LBS Coverage of the privacy and protection procedure for cellular networks-and its shortcomings An assessment of threats presented when location information is divulged to unauthorized parties Important IP Multimedia Subsystem and IMS-based presence service proposals The demand for navigation services is predicted to rise by a combined annual growth rate of more than 104 percent between 2008 and 2012, and many of these applications require efficient and highly scalable system architecture and system services to support dissemination of location-dependent resources and information to a large and growing number of mobile users. This book offers tools to aid in determining the optimal distance measurement system for a given situation by assessing factors including complexity, accuracy, and environment. It provides an extensive survey of existing literature and proposes a novel, widely applicable, and highly scalable architecture solution. Organized into three major sections-applications, technologies, and security-this material fully covers various location-based applications and the impact they will have on the future.

The field of electromagnetics has seen considerable advances in recent years, based on the wide applications of numerical methods for investigating electromagnetic fields, microwaves, and other devices. Wide-Band Slow-Wave Systems: Simulation and Applications presents new technical solutions and research results for the analysis, synthesis, and design of slow-wave structures for modern electronic devices with super-wide pass-bands. It makes available, for the first time in English, significant research from the past 20 years that was previously published only in Russian and Lithuanian. The authors examine electrodynamics, multiconductor lines, and numerical methods for the modeling, simulation, analysis, and design of various super-wide-band slow-wave structures, including helical, meander, and gutter-type systems. The book features: The electrodynamic method for analysis of helical structures containing periodical inhomogeneities The multiconductor line method for analysis of complex helical, meander, and gutter-type wide-band slow-wave structures The method of moments for modeling and analysis of multiconductor lines containing a limited number of lines and meander structures with limited length Use of powerful software systems Microwave Office (R), MICROWAVE STUDIO (R), and MATLAB (R) for modeling, analysis, and design A synergy of various methods for investigating and designing wide-band slow-wave structures Solution of specific problems related to the design of wide-band and super-wide-band electrodynamic delay and deflection systems Principles of computer-aided design of slow-wave structures Presenting the theory, principles, properties, and applications of wide-band and super-wide-band slow-wave structures, this book will be of interest to students, engineers, researchers, and designers in the fields of electronic and microwave engineering.

Although sophisticated wireless radio technologies make it possible for unlicensed wireless devices to take advantage of un-used broadcast TV spectra, those looking to advance the field have lacked a book that covers cognitive radio in TV white spaces (TVWS). Filling this need, TV White Space Spectrum Technologies: Regulations, Standards and Applications explains how white space technology can be used to enable the additional spectrum access that is so badly needed. Providing a comprehensive overview and analysis of the topics related to TVWS, this forward-looking reference contains contributions from key industry players, standards developers, and researchers from around the world in TV white space, dynamic spectrum access, and cognitive radio fields. It supplies an extensive survey of new technologies, applications, regulations, and open research areas in TVWS. The book is organized in four parts: Regulations and Profiles-Covers regulations, spectrum policies, channelization, and system requirements Standards-Examines TVWS standards efforts in different standard-developing organizations, with emphasis on the IEEE 802.22 wireless network standard Coexistence-Presents coexistence techniques between all potential TVWS standards, technologies, devices, and service providers, with emphasis on the Federal Communications Commission's (FCC) recent regulations and policies, and IEEE 802.19 coexistence study group efforts Important Aspects-Considers spectrum allocation, use cases, and security issues in the TVWS network This complete reference includes coverage of system requirements, collaborative sensing, spectrum sharing, privacy, and interoperability. Suggesting a number of applications that can be deployed to provide new services to users, including broadband Internet applications, the book highlights potential business opportunities and addresses the deployment challenges that are likely to arise.

The escalating demand for ubiquitous computing along with the complementary and flexible natures of Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) have sparked an increase in the integration of these two dynamic technologies. Although a variety of applications can be observed under development and in practical use, there has been a need for a resource that brings together timely coverage of RFIS, Sensor Networks, and their integration. Filling this need, RFID and Sensor Networks: Architectures, Protocols, Security, and Integrations is the authoritative reference on RFID and WSNs. Covering a broad range of topics that includes everything from the basics to insights into future directions, this cutting-edge book reviews architectures, protocols, standards, security, and applications. With sections devoted to each individual element, the text starts by covering the tags, readers, and middleware associated with RFID. Next, it provides insights into the routing, medium access control, and cross-layer optimization of WSNs. The third section focuses on the integration of RFID and WSN, addresses contemporary challenges, and illustrates concepts and applications with practical examples. This forward looking resource details the enhanced visibility and monitoring capabilities that are possible with RFID and WSNs and highlights contemporary applications including smart homes, surveillance systems, and personal health care. Providing a complete understanding of the essential fundamentals behind RFID and WSNs, this book will help you foster the skills needed to materialize the enhancements possible when these two promising technologies are used together.

This book focuses on core functionalities for wireless real-time multi-hop networking with TDMA (time-division multiple access) and their integration into a flexible, versatile, fully operational, self-contained communication system. The use of wireless real-time communication technologies for the flexible networking of sensors, actuators, and controllers is a crucial building block for future production and control systems. WirelessHART and ISA 100.11a, two technologies that have been developed predominantly for industrial use, are currently available. However, a closer analysis of these approaches reveals certain deficits. Current research on wireless real-time communication systems shows potential to remove these limitations, resulting in flexible, versatile, and robust solutions that can be implemented on today's low-cost and resource-constrained hardware platforms. Unlike other books on wireless communication, this book presents protocols located on MAC layer and above, and build on the physical (PHY) layer of standard wireless communication technologies.

Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study of biological systems can significantly improve computing, networking, and robotics. Containing contributions from leading researchers from around the world, the book investigates the fundamental aspects and applications of bio-inspired computing and networking. Presenting the latest advances in bio-inspired communication, computing, networking, clustering, optimization, and robotics, the book considers state-of-the-art approaches, novel technologies, and experimental studies, including bio-inspired: Optimization of dynamic NP-hard problems Top-down controller design for distributing a robot swarm among multiple tasks Self-organizing data and signals cellular systems Dynamic spectrum access in cognitive radio networks QoS-aware architecture for scalable, adaptive, and survivable network systems Locomotion control of the Hexapod Robot Gregor III The book explores bio-inspired topology control and reconfiguration methods, as well as bio-inspired localization, synchronization, and mobility approaches. Providing wide-ranging coverage that includes past approaches, current challenges, and emerging concepts such as the evolution and self-healing of network architectures and protocols, this comprehensive reference provides you with the well-rounded understanding you need to continue the advancement of the development, design, and implementation of bio-inspired computing and networking.

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning-describes the application of machine learning and other AI principles in sensor network intelligence-covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing techniques-including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking-focuses on network protocol design in order to achieve an intelligent sensor networking-covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications-including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.