Franzis Maker Kit Internet of Things:Mehr als 20 Praxisprojekte: Internetuhr, Mediacentersteuerung, Twitter-Alarmanlage und mehr. 21 Baut Franzis Maker Kit Fabian Kainka
Smartphones und Tablets sind hochintegrierte Mini-Computer, die von der Leistungsfähigkeit her typische ´´Bastlersysteme´´ wie Arduino oder Raspberry Pi nicht selten weit übertreffen, selbst wenn sie älteren Baujahres sind. Sie verfügen standardmäßig über eine mobile Spannungsversorgung (Akku) und Mobilfunk, bieten ein hochauflösendes Display mit Touchscreen und besitzen Funkschnittstellen wie WLAN und Bluetooth. Allerdings fehlen ihnen frei programmierbare I/O-Ports für die Ankopplung eigener Applikationen. Klaus Dembowski zeigt Ihnen zahlreiche Möglichkeiten, die mobilen Geräte mit verschiedenen Schnittstellen auszustatten, sodass Sie eigene Anwendungen aufbauen können. Zum Rüstzeug gehört auch das passende Grundlagenwissen, etwa über elektronische Bauelemente und Messtechnik, damit Ihnen die notwendigen Verstärker- und Sensorschaltungen korrekte und verlässliche Ergebnisse liefern. Das Themenspektrum dieses Buches deckt in praxisorientierter Form die komplette Signalverarbeitungskette vom Sensor bis zum Internet of Things ab, wofür unter anderem die relevanten Funktechniken eine wichtige Rolle spielen. Die dazu passende Software - in Form von Apps - darf natürlich nicht fehlen, denn sie ermöglicht die Kommunikation mit der Hardware. Für Ihre eigenen Experimente werden die Programme auch als Download zur Verfügung gestellt.
This book introduces applications of RFID on the Internet of things, under the emerging technologies for tag search, anonymous RFID authentication, and identification of networked tags. A new technique called filtering vector (a compact data structure that encodes tag IDs) is proposed to enable tag filtration, meeting the stringent delay requirements for real-world applications. Based on filtering vectors, a novel iterative tag search protocol is designed, which progressively improves the accuracy of search result and reduces the time of each iteration by using the information learned from the previous iterations. Moreover, the protocol is extended to work under noisy channel. The authors also make a fundamental shift from the traditional design paradigm for anonymous RFID authentication by following an asymmetry design principle that pushes most complexity to the readers while leaving the tags as simple as possible. A novel technique is developed to dynamically generate random tokens on demand for authentication. The token-based authentication protocol only requires O(1) communication overhead and online computation overhead per authentication for both readers and tags. Finally, the authors investigate the problem of networked-tag identification. The traditional contention-based protocol design will incur too much energy overhead in multihop tag systems, and a reader-coordinated design that significantly serializes tag transmissions performs much better. In addition, a solution based on serial numbers is proposed to achieve load balancing, thereby reducing the worst-case energy cost among the tags. Designed for researchers and professionals, this SpringerBrief will interest individuals who work in efficiency, security, and privacy. Advanced-level students focused on network design will also benefit from the content.
This book focuses on new methods, architectures, and applications for the management of Cyber Physical Objects (CPOs) in the context of the Internet of Things (IoT). It covers a wide range of topics related to CPOs, such as resource management, hardware platforms, communication and control, and control and estimation over networks. It also discusses decentralized, distributed, and cooperative optimization as well as effective discovery, management, and querying of CPOs. Other chapters outline the applications of control, real-time aspects, and software for CPOs and introduce readers to agent-oriented CPOs, communication support for CPOs, real-world deployment of CPOs, and CPOs in Complex Systems. There is a focus on the importance of application of IoT technologies for Smart Cities.
This book covers essential topics in the architecture and design of Internet of Things (IoT) systems. The authors provide state-of-the-art information that enables readers to design systems that balance functionality, bandwidth, and power consumption, while providing secure and safe operation in the face of a wide range of threat and fault models. Coverage includes essential topics in system modeling, edge/cloud architectures, and security and safety, including cyberphysical systems and industrial control systems. Dimitrios Serpanos holds a PhD in Computer Science from Princeton University since 1990. He received his Engineering Degree in Computer Engineering & Informatics from the University of Patras in 1985 (1st CE graduate in Greece) and his MA in Computer Science from Princeton University in 1988. Between 1990 and 1996 he was a Research Staff Member (RSM) at IBM Research, T.J. Watson Research Center working in the area of systems architecture for high bandwidth systems. Between 1996 and 2000 he was faculty member at the University of Crete (Computer Science) and a researcher at ICS-FORTH. Since 2000 he has been a professor at the University of Patras, Dept. of Electrical & Computer Engineering, working in the area of computer architecture and embedded systems with emphasis on network systems, security systems and multimedia systems. He has been working on computer architecture, network systems and embedded systems for more than 25 years, with special emphasis on building real systems and prototypes that are tested in the lab or in the field. Marilyn Wolf received her bachelors, masters, and doctoral degrees in electrical engineering from Stanford University in 1980, 1981, and 1984, respectively. She was with AT&T Bell Laboratories in Murray Hill, N.J. from 1984 to 1989 and was with Princeton University from 1989 until 2007. In July 2007, Dr. Wolf joined Georgia Tech as the Rhesa Ray S. Farmer, Jr. Distinguished Chair in Embedded Computing Systems and Georgia Research Alliance Eminent Scholar. She has developed a number of techniques for embedded computing, ranging from hardware/software co-design algorithms and real-time scheduling algorithms to code compression and distributed smart cameras. She is a co-founder of Verificon Corporation, which designs smart camera systems. She helped to start several technical conferences, including CODES and MPSoC. She has written four textbooks.
Quickly learn to program for microcontrollers and IoT devices without a lot of study and expense. MicroPython and controllers that support it eliminate the need for programming in a C-like language, making the creation of IoT applications and devices easier and more accessible than ever. MicroPython for the Internet of Things is ideal for readers new to electronics and the world of IoT. Specific examples are provided covering a range of supported devices, sensors, and MicroPython boards such as Pycoms WiPy modules and MicroPythons pyboard. Never has programming for microcontrollers been easier. The book takes a practical and hands-on approach without a lot of detours into the depths of theory. The book: Shows a faster and easier way to program microcontrollers and IoT devices Teaches MicroPython, a variant of one of the most widely used scripting languages Is friendly and accessible to those new to electronics, with fun example projects What Youll Learn Program in MicroPython Understand sensors and basic electronics Develop your own IoT projects Build applications for popular boards such as WiPy and pyboard Load MicroPython on the ESP8266 and similar boards Interface with hardware breakout boards Connect hardware to software through MicroPython Explore the easy-to-use Adafruit IO connecting your microcontroller to the cloud Who This Book Is For Anyone interested in building IoT solutions without the heavy burden of programming in C++ or C. The book also appeals to those wanting an easier way to work with hardware than is provided by the Arduino and the Raspberry Pi platforms. Charles Bell conducts research in emerging technologies. He is a member of the Oracle MySQL Development team as a senior developer assisting in the development of MySQL high availability solutions. He lives in a small town in rural Virginia with his loving wife. Dr. Bell received his doctorate degree in engineering from Virginia Commonwealth University in 2005. His research interests include database systems, software engineering, sensor networks, and 3D printing. He spends his limited free time as a practicing Maker, focusing on microcontroller and 3D printers and printing projects.
This book describes the building blocks and introductory business models for Internet of Things (IoT). The author provide an overview of the entire IoT architecture and constituent layers, followed by detail description of each block . Various inter-connecting technologies and sensors are discussed in context of IoT networks. In addition to this, concepts of Big Data and Fog Computing are presented and characterized as per data generated by versatile IoT applications . Smart parking system and context aware services are presented as an hybrid model of cloud and Fog Afterwards, various IoT applications and respective business models are discussed. Finally, author summarizes the IoT building blocks and identify research issues in each, and suggest potential research projects worthy of pursuing. Fatima Hussain is a Post-Doctoral Fellow in the Department of Computer Science at Ryerson University, in Toronto, Canada. Waleed Ejaz is a Senior Research Associate in the Department of Electrical and Computer Engineering at Ryerson University, in Toronto, Canada.
This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications. Amir. M. Rahmani is currently an EU Marie Curie Global Fellow at University of California Irvine, USA, and TU Wien, Austria. He is also adjunct professor (Docent) in embedded parallel and distributed computing at University of Turku, Finland. He received his Masters degree from Department of Electrical and Computer Engineering, University of Tehran, Iran, in 2009 and Ph.D. degree from Department of Information Technology, University of Turku, Finland, in 2012. He also received his MBA jointly from Turku School of Economics and European Institute of Innovation & Technology (EIT) ICT Labs, in 2014. He is the author of more than 130 peer-reviewed publications. His research interests span Self-aware Computing, Energy-efficient Many-core Systems, Runtime Resource Management, Healthcare Internet of Things, and Fog Computing. Pasi Liljeberg is a professor in Department of Future Technologies, University of Turku, Finland. He received the M.Sc. and Ph.D. degrees in Electronics and Information Technology from the University of Turku, Turku, Finland, in 1999 and 2005, respectively. During the period 2007-2009, he held an Academy of Finland researcher position. He is the author of more than 250 peer-reviewed publications, has supervised nine Ph.D. theses. Liljeberg is the leader of the Internet-of-Things for Healthcare (IoT4Health) research group. Jürgo Preden is the founder and CTO of IoT Technologies, he was also the founder and CTO of Defendec. Jurgo is also active as a senior research scientist and also serving as the head of the Research Laboratory for Proactive Technologies at Tallinn University of Technology. Jurgos research interests are focused on cyber-physical systems, more specifically the situation awareness of such systems and the computation and communication in ad-hoc sensing systems. Jürgo Preden represents Estonia in NATO RTA System Concepts and Integration panel and he has been involved in the activities of NATO STO task groups. Axel Jantsch is Professor in Systems-on-Chip, at TU Wien Institute of Computer Technology, in Vienna, Austria. He was a Professor of Electronic System Design with the Royal Institute of Technology, Stockholm, Sweden. He received the Dipl.-Ing and Dr.Tech. degrees from the Vienna University of Technology, Vienna, Austria. His current research interests include VLSI design and synthesis, system-level specification, self-aware computing, Cyber-Physical Systems and Internet of Things, modeling and validation, HW/SW co-design and co-syntheses, reconfigurable computing, and networks-on-chip.
This book offers the first comprehensive view on integrated circuit and system design for the Internet of Things (IoT), and in particular for the tiny nodes at its edge. The authors provide a fresh perspective on how the IoT will evolve based on recent and foreseeable trends in the semiconductor industry, highlighting the key challenges, as well as the opportunities for circuit and system innovation to address them. This book describes what the IoT really means from the design point of view, and how the constraints imposed by applications translate into integrated circuit requirements and design guidelines. Chapter contributions equally come from industry and academia. After providing a system perspective on IoT nodes, this book focuses on state-of-the-art design techniques for IoT applications, encompassing the fundamental sub-systems encountered in Systems on Chip for IoT: ultra-low power digital architectures and circuits low- and zero-leakage memories (including emerging technologies) circuits for hardware security and authentication System on Chip design methodologies on-chip power management and energy harvesting ultra-low power analog interfaces and analog-digital conversion short-range radios miniaturized battery technologies packaging and assembly of IoT integrated systems (on silicon and non-silicon substrates). As a common thread, all chapters conclude with a prospective view on the foreseeable evolution of the related technologies for IoT. The concepts developed throughout the book are exemplified by two IoT node system demonstrations from industry. The unique balance between breadth and depth of this book: enables expert readers quickly to develop an understanding of the specific challenges and state-of-the-art solutions for IoT, as well as their evolution in the foreseeable future provides non-experts with a comprehensive introduction to integrated circuit design for IoT, and serves as an excellent starting point for further learning, thanks to the broad coverage of topics and selected references makes it very well suited for practicing engineers and scientists working in the hardware and chip design for IoT, and as textbook for senior undergraduate, graduate and postgraduate students ( familiar with analog and digital circuits). Massimo Alioto took the M.Sc. and the Ph.D. degree in 1997 and 2001 from the University of Catania (Italy). He is currently with the ECE department of the National University of Singapore, where he leads the Integrated Circuits and Embedded Systems area. Previously, he held positions at the University of Siena (2002), EPFL (summer of 2007), University of California at Berkeley (2009-2011), University of Michigan Ann Arbor (2011-2012), and Intel Labs in Oregon (2013). He has authored more than 220 publications and three books, and has delivered 50+ invited talks in top universities, semiconductor companies and conferences in the last five years. He was IEEE Distinguished Lecturer, Chair of the VLSI Systems and Applications CASS Technical Committee, and Associate Editor in Chief of the IEEE Transactions on VLSI Systems. He has served as Guest Editor of several journal special issues (e.g., TCAS-I, TCAS-II), Associate Editor of a number of IEEE/ACM journals (e.g., TCAS-I, TVLSI, TODAES, TCAS-II), and Technical Program Chair in several IEEE conferences (e.g., SOCC, ICECS, NEWCAS, VARI, ICM, PRIME). Prof. Alioto is an IEEE Fellow.