Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization, including the type-2 fuzzy adaptive filter (type-2 FAF), compensatory neuro-fuzzy filter (CNFF), and radial basis function (RBF) neural network. Neuro-Fuzzy Equalizers for Mobile Cellular Channels starts with a brief introduction to channel equalizers, and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels, establishes the mobile indoor channel as a Rayleigh fading channel, presents the channel equalization problem, and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic, and classifies various equalizers.This being a fairly new branch of study, the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM). Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers Provides model ultra-wide band (UWB) channels using channel co-variance matrix Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II, as well as compensatory neuro-fuzzy equalizers Includes extensive use of MATLAB (R) as the simulation tool in all the above cases

Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues. This edited book presents current and future developments and trends in wireless communication technologies based on contributions from machine learning and other fields of artificial intelligence, including channel modelling, signal estimation and detection, energy efficiency, cognitive radios, wireless sensor networks, vehicular communications, and wireless multimedia communications. The book is aimed at a readership of researchers, engineers and students working on wireless communications and machine learning, especially those working with big data and artificial intelligence multi-disciplinary fields related to wireless communication technologies.

For all the interest that wireless sensor networks have created over the past decade, there are few examples to show that they are truly delivering on this promise and anticipation. What is missing? Deviating from the usual focus on routing and energy efficiency, Building Sensor Networks: From Design to Applications attempts to stitch together the path from conceptual development of applications, on one end, to actual complete applications at the other. With this change in perspective, the book examines important facets of wireless sensor networks (WSNs) that are not often discussed in the literature. From Design Practices to the Networking Protocols that Glue Applications Together Organized into three sections, the book presents insights from international experts representing both industry and academia. The first section, on design practices, explores alternative ways to approach the tasks of developing a suitable WSN solution to an application and assisting that development in a manner that is not necessarily tied to a particular application. The second section, on networking protocols, illustrates the impact of the intermediaries-the "glue" of putting applications together. Chapters look at ways to address traffic, delays in network clustering, and the coexistence of a WSN with other systems on a frequency band. The final section of the book delves into experiences with applications in chemical sensing, defense, global trade and security, and ecosystem monitoring. Although these applications may fail the purist definition of an ideal WSN, they offer valuable lessons for the future development and deployment of WSNs. Challenge Your Thinking about Designing WSN Applications Emphasizing the need to build applications, the contributors present examples of what applications of WSNs could look like and identify the constraints. Throughout, the book challenges and illuminates your thinking about how to tame the complexity of designing a WSN application. It is essential reading for anyone interested in future wireless technologies.

Wireless communications have become indispensable part of our lives. The book deals with the security of such wireless communication. The technological background of these applications have been presented in detail. Special emphasis has been laid on the IEEE 802.11x-standards that have been developed for this technology. A major part of the book is devoted to security risks, encryption and authentication. Checklists have been provided to help IT administrators and security officers to achieve the maximum possible security in their installations, when using wireless technology. This is the second edition of the book. The updates include the latest the IEEE 802.11-standard, an updated chapter on PDA, the increased relevance of smart phones and tablets, widespread use of WLAN with increased security risks.

Although several books and academic courses discuss data management and networking, few of them focus on the convergence of networking and software technologies for identifying, addressing, and managing distributed data. Focusing on this convergence, Identification and Management of Distributed Data: NGN, Content-Centric Networks and the Web collates and describes the various distributed data management technologies to help readers from various backgrounds understand the common aspects that govern distributed data management.
With a focus on the primary problems in identifying, addressing, and managing information in a distributed environment, the book guides you through the discovery of distributed data management on the web, in next-generation networks (NGNs), and in new content-centric networking paradigms. It includes case studies from the Palo Alto Research Center and the Semantic Web Education and Outreach Interest Group that illustrate the convergence between software engineering and networking technologies.
Derived from academic courses, ongoing research, and the latest standardization initiatives, the book explains how the various layers of the existing Internet protocol stack already provide most of the functions that information engineers need to design efficient systems. Although the subject is broad, the book provides helpful insights into a number of critical technologies to provide you with the foundation required to build and deploy more efficient data interoperability paradigms in next-generation networks.

Nonfunctional Requirements in Mobile Application Development is an empirical study that investigates how nonfunctional requirements--as compared with functional requirements--are treated by the software engineers during mobile application development. The book empirically analyzes the contribution of nonfunctional requirements to project parameters such as cost, time, and quality. Such parameters are of prime interest as they determine the survival of organizations in highly dynamic environments. The impact of nonfunctional requirements on project success is analyzed through surveys and case studies, both individually and relative to each other. Sources for data collection include industry, academia, and literature. The book also empirically studies the impact of nonfunctional requirements on the overall business success of both the software development firm and the software procuring firm. Project success is examined to determine if it leads to business success. The book provides rich empirical evidence to place nonfunctional requirements on par with functional requirements to achieve business success in highly competitive markets. This work enhances the body of knowledge through multiple empirical research methods including surveys, case studies, and experimentation to study software engineers' focus on nonfunctional requirements at both project and business levels. The book can guide both computer scientists and business managers in devising theoretical and technical solutions for software release planning to achieve business success.

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.

Providing a practical review of the latest technology in the field, " "Ultrawideband Radar Applications and Design presents cutting-edge advances in theory, design, and practical applications of ultrawideband (UWB) radar. This book features contributions from an international team of experts to help readers learn about a wide range of UWB topics, including:

• History of the technology
• American and European governmental regulations and key definitions
• Nonsinusoidal wave propagation theory
• Random signal radar
• Object detection by ground permittivity measurements
• Large-target backscattering effects
• Medical applications
• Large current radiator antenna design
• Materials-penetrating theory
• Radar signal processing
• Weak-signal detection methods
• Holographic and real time radar imaging

This book s contributors use practical information to illustrate the latest theoretical developments and demonstrate UWB radar principles through case studies. Radar system engineers will find ideas for precision electronic sensing systems for use in medical, security, industrial, construction, and geophysical applications, as well as those used in archeological, forensic and transportation operations.

The must-have guide to the CWTS exam, updated for 2017 CWTS Certified Wireless Technology Specialist Study Guide is your number-one resource for comprehensive exam preparation. Updated to study in 2017 and beyond, this book takes a multi-modal approach to ensure your complete confidence and ability for the big day: full coverage of all CWTS exam objectives reinforces your conceptual knowledge, hands-on exercises help hone your practical skills, and the Sybex online learning environment provides flashcards, a glossary, and review questions to help you test your understanding along the way. An objective map and pre-assessment test allow for more efficient preparation by showing you what you already know and what you need to review and the companion website's complete practice exams give you a "dry run" so you can pinpoint weak areas while there's still time to improve. If you're serious about earning your CWTS certification, this book is your ideal companion for complete and thorough preparation. Learn critical concepts and apply essential skills in areas like hardware and software, radio frequency fundamentals, surveying and installation, support, troubleshooting, security, and more. This guide gives you everything you need to approach the exam with confidence. * Master 100 percent of the CWTS exam objectives * Use effective planning tools to get the most out of your study time * Practice your skills with hands-on exercises and real-world scenarios * Access online study aids that let you review any time, any place The CWTS certification gets your foot in the door of a growing industry, and is a stepping stone to the industry standard CWNP certification. The exam will test your abilities in all fundamental areas of Wi-Fi technology, so it's important that your study plan be complete and up-to-date. CWTS Certified Wireless Technology Specialist Study Guide is your ideal solution for comprehensive preparation.

This book focuses on broadband power amplifier design for wireless communication. Nonlinear model embedding is described as a powerful tool for designing broadband continuous Class-J and continuous class F power amplifiers. The authors also discuss various techniques for extending bandwidth of load modulation based power amplifiers, such as Doherty power amplifier and Chireix outphasing amplifiers. The book also covers recent trends on digital as well as analog techniques to enhance bandwidth and linearity in wireless transmitters. Presents latest trends in designing broadband power amplifiers; Covers latest techniques for using nonlinear model embedding in designing power amplifiers based on waveform engineering; Describes the latest techniques for extending bandwidth of load modulation based power amplifiers such as Doherty power amplifier and Chireix outphasing amplifiers; Includes coverage of hybrid analog/digital predistortion as wideband solution for wireless transmitters; Discusses recent trends on on-chip power amplifier design with GaN /GaAs MMICs for high frequency applications.

Globalization of Mobile and Wireless Communications is a collection of cutting-edge research in mobile and wireless communications with impact on developments as far forward as 2020 and beyond. The book draws upon the insights and performed research work of leading experts in the field. Topics of discussion are related but not limited to spectrum-efficient radio interface technologies, enabling technologies for reconfigurability, wireless sensor networks, cognitive networks, coherent wireless transmission, algorithmic design, middleware for novel services and applications. The material has been edited to provide a vision for the future of mobile and wireless, towards a dynamic communication system that breaks down the barriers between communications means; and evolves and integrates business models and culture to match the technological evolution. In addition, strategies on how to overcome the technological challenges for achieving that vision are also outlined.

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.

In the past several years, there has been an increasing trend in the use of Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) as well as in the integration of both systems due to their complementary nature, flexible combination, and the demand for ubiquitous computing. As always, adequate security remains one of the open areas of concern before wide deployment of RFID and WSNs can be achieved. Security in RFID and Sensor Networks is the first book to offer a comprehensive discussion on the security challenges and solutions in RFID, WSNs, and integrated RFID and WSNs, providing an essential reference for those who regularly interface with these versatile technologies. Exposes Security Risks The book begins with a discussion of current security issues that threaten the effective use of RFID technology. The contributors examine multi-tag systems, relay attacks, authentication protocols, lightweight cryptography, and host of other topics related to RFID safety. The book then shifts the focus to WSNs, beginning with a background in sensor network security before moving on to survey intrusion detection, malicious node detection, jamming, and other issues of concern to WSNs and their myriad of applications. Offers Viable Solutions In each chapter, the contributors propose effective solutions to the plethora of security challenges that confront users, offering practical examples to aid in intuitive understanding. The last part of the book reviews the security problems inherent in integrated RFID & WSNs. The book ends with a glimpse of the future possibilities in these burgeoning technologies and provides recommendations for the proactive design of secure wireless embedded systems.

The book provides thorough discussion on emerging topics related to 6G wireless communication systems such as programmable wireless environment (PWE); distributed and pervasive AI for wireless communications as well as terahertz (THz) communications. 6G Wireless: The Communication Paradigm Beyond 2030 provides comprehensive coverage of the vision, requirement, use-cases, enabling technologies, and challenges for the future 6G wireless communication systems. This will include key use cases such as Immersive and eXtended reality (IXR), advanced VR/AR, intelligent humanoid robotics/devices, fully autonomous transportation, intelligent and ubiquitous healthcare, neural communication through brain interface, remote surgery, holographic/3D video communications, high precision autonomous manufacturing and haptic/tactile communications. For those use cases, the book thoroughly analyses the challenges and requirements followed by providing in-depth coverage of potential enabling technologies like terahertz communications, pervasive and distributed AI battery- less/ultra-low-power devices, programmable wireless environment, metasurface for reconfigurability, cell-free or cell-less architecture, quantum communications, 3D beamforming, energy harvesting, and wireless power transfer, optical and visible light communications, blockchain, and so on. The book also presents the significant challenges facing the research community to meet the 6G requirements as well as potential research directions to address these challenges Written in tutorial style the primary audience of the book is postgraduate students and researchers in the broad domain of wireless communications as well as research-active academics. The book can also be useful as a reference book for BSc/MSc project/thesis works.

"A Smart Network Solution to Crowded Bandwidth"

Fueled by ongoing and increasing consumer demand, the explosive growth in spectrum-based communications continues to tax the finite resources of the available spectrum. One possible solution, Cognitive Radio Network (CRN), allows unlicensed users opportunistic access to licensed bands without interfering with existing users. Although some initial study has been conducted in this field, researchers need a systematic reference book that presents clear definitions, functions, and current challenges of the CRNs. Cognitive Radio Networks presents state-of-the-art approaches and novel technologies for cognitive wireless radio networks and sheds light on future developments in these areas.

Comprising the contributions of many prominent world-wide cognitive radio researchers, this book covers all CRN essentials including spectrum sensing, spectrum handoff, spectrum sharing, and CRN routing schemes. Divided into five parts, the book addresses the physical layer, medium access control, the routing layer, cross-layer considerations and advanced topics in cognitive radio networks. The chapters also review research, management, support, and cognitive techniques such as position and network awareness, infrastructure and physical and link layer concerns.

The editors of this volume are noted experts in the field of wireless networks and security. Dr. Yang Xiao's research has been supported by the U.S. National Science Foundation (NSF), U.S. Army Research, Fleet & Industrial Supply Center San Diego (FISCSD), and the University of Alabama's Research Grants Committee. Dr. Fei Hu has worked with NSF, Cisco, Lockheed Martin, Sprint, and otherorganizations. By bringing together the combined input of international experts, these editors have advanced the field of this nascent technology and helped to forge new paths of discovery for progressive communications possibilities.

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

This book presents best selected research papers presented at the First International Conference on Integrated Intelligence Enable Networks and Computing (IIENC 2020), held from May 25 to May 27, 2020, at the Institute of Technology, Gopeshwar, India (Government Institute of Uttarakhand Government and affiliated to Uttarakhand Technical University). The book includes papers in the field of intelligent computing. The book covers the areas of machine learning and robotics, signal processing and Internet of things, big data and renewable energy sources.

This book provides the details of developing a digital pedestrian map construction system over the intermittently connected mobile network. Over the past couple of decades, countries across the world, both developing and developed, have witnessed a significant number of disasters. Thus, it has become mandatory for each of the disaster-prone countries to equip themselves with appropriate measures to cope with the challenges of providing post-disaster services. Some of the serious challenges are incapacitated communication infrastructure, unstable power supply and inaccessible road networks. Out of these challenges, the destruction of road networks, especially in developing countries, acts as a major hindrance to effective disaster management. To be more specific, the success of a disaster response operation generally depends on the speed of evacuation and transportation of adequate amount of relief materials at the right time to the disaster-affected areas. Hence, map-based navigation support is a primary requirement for post-disaster relief operations. This book also provides the solution of the two other important post-disaster management services such as situational awareness and resource allocation. Both of these services are invariably dependent on the existence of navigation support. Finally, in order to offer such services, the other challenge is to address the problem of incapacitated communication infrastructure. This book also deals with such challenges in post-disaster scenarios and develops automated post-disaster management services.

This book comprises select peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems (VSPICE-2020). The book provides insights into various aspects of the emerging fields in the areas Electronics and Communication Engineering as a holistic approach. The various topics covered in this book include VLSI, embedded systems, signal processing, communication, power electronics and internet of things. This book mainly focuses on the most recent innovations, trends, concerns and practical challenges and their solutions. This book will be useful for academicians, professionals and researchers in the area of electronics and communications and electrical engineering.

This book comprises the peer-reviewed proceedings of the International Conference on Communications, Signal Processing and VLSI (IC2SV) 2019. It explores the recent advances in the fields of signal and image processing, wireless and mobile communications, embedded systems, VLSI, microwave, and antennas. The contents provide insights into present technological challenges and discusses the emerging applications of different imaging techniques and communications systems. Given the range of topics covered, this book can be useful for students as well as researchers interested in the area of communications, signal processing, and VLSI technologies.

This book provides a panoramic overview on wireless communication network technologies and its evolution, namely cellular mobile networks (especially 5G), Wireless Local Area Network (WLAN) and Narrow Band Internet of Things (NB-IoT).With rich experiences in teaching and scientific research, the renowned authors selectively analyze several key technologies that restrict the performance of wireless communication and computer networks.For easy reading, each chapter is illustrated in somewhat the style of lesson plan.The useful reference text will benefit both undergraduate and graduate students in the fields of wireless communication, computer networks, electronic engineering, automatic control, etc.

- provides some fundamental concepts related to 5G networks and the 5G NR signal processing. A review of AI and state of the art machine learning techniques is also given. - deals with the 5G/6G and AI enabled applications such as AR/VR, autonomous vehicles, mobile multimedia services, context aware communications, Industrial IoT and security. -elaborates on how AI techniques can enhance network and traffic management in 5G/6G networks. These include AI based mobility management, routing, scheduling, network performance optimization and even energy efficiency. -discusses the application of AI to 5G/6G NR signal processing and also the air interface. AI and deep learning techniques for channel coding, automatic modulation detection, channel estimation and equalization as well as spectrum management are presented with a view to highlight the benefits of using AI as compared to traditional techniques.

Sensor networks differ from traditional networks in many aspects including their limited energy, memory space, and computational capability. These differentiators create unique security vulnerabilities. Security in Sensor Networks covers all aspects of the subject, serving as an invaluable reference for researchers, educators, and practitioners in the field. Containing thirteen invited chapters from internationally recognized security experts, this volume details attacks, encryption, authentication, watermarking, key management, secure routing, and secure aggregation, location, and cross-layer. It offers insight into attacking and defending routing mechanisms in ad hoc and sensor networks, and analyzes MAC layer attacks in 802.15.4 sensor networks. About the Author Before joining the Department of Computer Science at the University of Alabama in 2006, and his prior position at the University of Memphis in 2002, Dr. Yang Xiao was an accomplished Medium Access Control (MAC) architect deeply involved in IEEE 802.11 standard enhancement. A former voting member of IEEE 802.11 Working Group, he serves as editor or on the editorial boards of numerous prestigious journals that cover emerging topics within mobile and wireless computing. A co-editor of seven books, he also serves as a referee/reviewer for many funding agencies, as well as a panelist for the National Science Foundation.

The purpose of this book is to review the recent advances in E-health technologies and applications. In particular, the book investigates the recent advancements in physical design of medical devices, signal processing and emergent wireless technologies for E-health. In a second part, novel security and privacy solutions for IoT-based E-health applications are presented. The last part of the book is focused on applications, data mining and data analytics for E-health using artificial intelligence and cloud infrastructure. E-health has been an evolving concept since its inception, due to the numerous technologies that can be adapted to offer new innovative and efficient E-health applications. Recently, with the tremendous advancement of wireless technologies, sensors and wearable devices and software technologies, new opportunities have arisen and transformed the E-health field. Moreover, with the expansion of the Internet of Things, and the huge amount of data that connected E-health devices and applications are generating, it is also mandatory to address new challenges related to the data management, applications management and their security. Through this book, readers will be introduced to all these concepts. This book is intended for all practitioners (industrial and academic) interested in widening their knowledge in wireless communications and embedded technologies applied to E-health, cloud computing, artificial intelligence and big data for E-health applications and security issues in E-health.

Energy efficiency issues for green internet of things (IoT) are investigated in this book, from the perspectives of device-to-device (D2D) communications, machine-to-machine (M2M) communications, and air-ground networks. Specifically, critical green IoT techniques from D2D communications in the cellular network to M2M communications in industrial IoT (IIoT), (from single physical-layer optimization to cross-layer optimization, and from single-layer ground networks to stereoscopic air-ground networks) are discussed in both theoretical problem formulation and simulation result analysis in this book. Internet of Things (IoT) offers a platform that enables sensors and devices to connect seamlessly in an intelligent environment, thus providing intelligence services including monitoring systems, industrial automation, and ultimately smart cities. However, the huge potentials of IoT are constrained by high energy consumption, limited battery capacity, and the slow progress of battery technology. The high energy consumption of IoT device causes communication interruption, information loss, and short network lifetime. Moreover, once deployed, the batteries inside IoT devices cannot be replaced in time. Therefore, energy efficient resource allocation is urgent to be investigated to improve the energy efficiency of IoT, facilitate green IoT, and extend the network lifetime. This book provides readers with a comprehensive overview of the state-of-the-art key technologies, frameworks, related optimization algorithms, and corresponding integrated designs on green IoT. It also presents an easy-to-understand style in a professional manner, making the book suitable for a wider range of readers from students to professionals interested in the green IoT.