Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater control of your IoT infrastructure Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn Overcome the challenges IoT data brings to analytics Understand the variety of transmission protocols for IoT along with their strengths and weaknesses Learn how data flows from the IoT device to the final data set Develop techniques to wring value from IoT data Apply geospatial analytics to IoT data Use machine learning as a predictive method on IoT data Implement best strategies to get the most from IoT analytics Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly

This book aims to provide a broad introduction to Internet of Things (IOT) - Theory and Applications. It also explains the fundamentals of this subject. It provides a logical method of explaining various complicated concepts and step wise methods to explain important topics. Each chapter is well supported with necessary illustrations. All the chapters in the book are arranged in a proper sequence that permits each topic to build upon earlier studies.Nowadays, IoT is in the limelight of research and innovation. The techniques developed in this area so far require to be summarized appropriately. In this book, the fundamental theories of these techniques are introduced.

The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. A typical IoT system works through the real-time collection and exchange of data.

Showcasing the diverse ways that IoT can be employed for improvement in many areas of contemporary life, this new volume explores a multitude of IoT applications that provide advanced solutions for real-world problems. The selection of topics includes network on chip as the new paradigm for system on chip integration for maintaining high performance for IoT applications; new router designs to increase speed; and the challenges of wireless underground sensor networks, which have a wide range of applications in military, underground sensing, testing soil traits and moisture content, pollution control and location detection, security, and detection of natural calamities. Various state-of-the-art techniques such as optimization schemes, blockchain, machine learning, orthogonal frequency division multiplexing, etc., are also discussed in the context of cognitive IoT. The volume considers the uses of IoT in agriculture, discussing challenges along with solutions with the help of the latest technical smart tools to uplift the farming community, specifically IoT applications for information gathering to improve yield productivity, food and crop quality and sustainability, monitoring toxic substances and soil properties, etc. The book also covers a broad spectrum of IoT applications in the educational industry along with the challenges associated with them and how to facilitate the use of smart classroom technology. A chapter on IoT in the healthcare industry presents an IoT-based GPS-enabled smart jacket design to monitor heart rate, sugar level, blood pressure, fever, and stress level. The authors also present an IoT-based Peltier air conditioner design that overcomes the limitations of existing HVAC framework, a review of various energy harvesting techniques to generate electrical power from non-conventional power sources with their merits and demerits, and much more.

Today the Internet has become ubiquitous, has touched almost every corner of the globe, and is affecting human life in unimaginable ways. We are now entering an era of even more pervasive connectivity where a very wide variety of appliances will be connected to the web. One year after the past edition of the Cluster book 2012 it can be clearly stated that the Internet of Things (IoT) has reached many different players and gained further recognition. Out of the potential Internet of Things application areas, Smart Cities (and regions), Smart Car and mobility, Smart Home and assisted living, Smart Industries, Public safety, Energy & environmental protection, Agriculture and Tourism as part of a future IoT Ecosystem (Figure 1.1) have acquired high attention.

As more and more devices become interconnected through the Internet of Things (IoT), there is an even greater need for this book,which explains the technology, the internetworking, and applications that are making IoT an everyday reality. The book begins with a discussion of IoT "ecosystems" and the technology that enables them, which includes: Wireless Infrastructure and Service Discovery Protocols Integration Technologies and Tools Application and Analytics Enablement Platforms A chapter on next-generation cloud infrastructure explains hosting IoT platforms and applications. A chapter on data analytics throws light on IoT data collection, storage, translation, real-time processing, mining, and analysis, all of which can yield actionable insights from the data collected by IoT applications. There is also a chapter on edge/fog computing. The second half of the book presents various IoT ecosystem use cases. One chapter discusses smart airports and highlights the role of IoT integration. It explains how mobile devices, mobile technology, wearables, RFID sensors, and beacons work together as the core technologies of a smart airport. Integrating these components into the airport ecosystem is examined in detail, and use cases and real-life examples illustrate this IoT ecosystem in operation. Another in-depth look is on envisioning smart healthcare systems in a connected world. This chapter focuses on the requirements, promising applications, and roles of cloud computing and data analytics. The book also examines smart homes, smart cities, and smart governments. The book concludes with a chapter on IoT security and privacy. This chapter examines the emerging security and privacy requirements of IoT environments. The security issues and an assortment of surmounting techniques and best practices are also discussed in this chapter.

This book presents a selection of highly relevant works concerning the Internet of Things, including: IoT Architectures, Standardization, Smart Cities, Smart Health, the communication of Smart Things, and outstanding IoT use cases. Some of these works present important future lines for the evolution of IoT systems. Thanks to its unique structure, the book allows authors to describe their works at an unprecedented level of detail. The special chapters contain extended versions of prominent and/or high-impact IoT projects that have laid the foundations of many subsequent IoT systems due to their level of innovation, and reflect highly relevant and innovative trends in the development of a new generation of IoT Systems.

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years, there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term, called "analytics," is an overarching description of a compilation of methodologies. But artificial intelligence (AI), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book, this book illustrates how professionals in healthcare, business, and government are applying these disciplines, methods, and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or industry into their domain. Application of modern technology into new areas is one of the fastest, most effective ways to improve results. By providing a rich set of examples, this book fosters creativity in the application and use of AI and analytics in innovative ways.

This book includes recent research on Data Science, IoT, Smart Cities and Smart Energy, Health Informatics, and Network Security. The International Conference on Advances in Computing Research (ACR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the advances in computing technologies. The conference is aptly segmented into six tracks to promote a birds-of-the-same-feather congregation and maximize participation. The first track covers computational intelligence, which include, among others, research topics on artificial intelligence, knowledge representation and management, application and theory of neural systems, fuzzy and expert systems, and genetic algorithms. The second track focuses on cybersecurity engineering. It includes pertinent topics such as incident response, hardware and network security, digital biometrics and forensics technologies, and cybersecurity metrics and assessment. Further, it features emerging security technologies and high-tech systems security. The third track includes studies on data analytics. It covers topics such as data management, statistical and deep analytics, semantics and time series analytics, and a multitude of important applications of data analytics in areas such as engineering, health care, business, and manufacturing. The fourth track on network and communications covers a wide range of topics in both areas including protocols and operations, ubiquitous networks, ad hoc and sensor networks, cellular systems, virtual and augmented reality streaming, information centric networks, and the emerging areas in connected and autonomous vehicle communications. Lastly, the final track on cloud and mobile computing includes areas of interest in cloud computing such as infrastructure, service, management and operations, architecture, and interoperability and federation. This track also includes important topics in mobile computing such as services and applications, communication architectures, positioning and tracking technologies, the general applications of mobile computing.