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Author: Yuanming Shi
Publisher: Springer Nature
ISBN: 9811538700
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.
Author: Yuanming Shi
Publisher: Springer Nature
ISBN: 9811538700
Category : Technology & Engineering
Languages : en
Pages : 164
Get Book Here
Book Description
The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.
Author: Yuanming Shi
Publisher: Springer
ISBN: 9789811538698
Category : Technology & Engineering
Languages : en
Pages : 152
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Book Description
The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.
Author: Aurora González-Vidal
Publisher: Springer Nature
ISBN: 3031209362
Category : Computers
Languages : en
Pages : 432
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Book Description
This book constitutes revised selected papers from the refereed proceedings of the 5th The Global IoT Summit, GIoTS 2022, which took place in Dublin, Ireland, in June 20–23, 2022. The 33 full papers included in this book were carefully reviewed andselected from 75 submissions. They were organized in topical sections as follows: ioT enabling technologies; ioT applications, services and real implementations; ioT security, privacy and data protection; and ioT pilots, testbeds and experimentation results.
Author: Rolando Herrero
Publisher: Springer Nature
ISBN: 3031284437
Category : Technology & Engineering
Languages : en
Pages : 543
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Book Description
This textbook explores the different protocols and technologies that are key to supporting the most important Internet of Things (IoT) networking scenarios. Intended for upper undergraduate classes, the author presents these protocols and technologies from a perspective of the standard layered architecture with special focus on protocol interaction and functionality. To this end, the book provides a unique step-by-step hands-on approach that enables the reader to use common software tools and network emulators to understand, prototype, and deploy a vast range of use cases. The author shows how these topologies, which rely on standard physical layer technologies like LoRa, NB-IoT, LTE-M, IEEE 802.15.4 and BLE, provide end-to-end IPv6 connectivity and comply with the most important requirements of industrial IoT solutions. The book helps readers learn how to build IoT networks through exercises, lab projects, and examples.
Author: Payal Khurana Batra
Publisher: CRC Press
ISBN: 1040118771
Category : Computers
Languages : en
Pages : 349
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Book Description
Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance. This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques. This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance. This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.
Author: Ranjeet Singh Tomar
Publisher: Springer Nature
ISBN: 3031431456
Category : Computers
Languages : en
Pages : 330
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Book Description
These two volumes constitute the selected and revised papers presented at the Second International Conference on Communication, Networks and Computing, CNC 2022, held in Gwalior, India, in December 2022. The 53 full papers were thoroughly reviewed and selected from the 152 submissions. They focus on the exciting new areas of wired and wireless communication systems, high-dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, vehicular technology and applications and electronic circuits for communication systems that promise to make the world a better place to live in.
Author: Gurdeep Singh Hura
Publisher: Springer Nature
ISBN: 9811553416
Category : Technology & Engineering
Languages : en
Pages : 1498
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Book Description
This book presents high-quality peer-reviewed papers from the International Conference on Advanced Communication and Computational Technology (ICACCT) 2019 held at the National Institute of Technology, Kurukshetra, India. The contents are broadly divided into four parts: (i) Advanced Computing, (ii) Communication and Networking, (iii) VLSI and Embedded Systems, and (iv) Optimization Techniques.The major focus is on emerging computing technologies and their applications in the domain of communication and networking. The book will prove useful for engineers and researchers working on physical, data link and transport layers of communication protocols. Also, this will be useful for industry professionals interested in manufacturing of communication devices, modems, routers etc. with enhanced computational and data handling capacities.
Author: Sudip Misra
Publisher: Cambridge University Press
ISBN: 110884295X
Category : Computers
Languages : en
Pages : 425
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Book Description
A valuable guide for new and experienced readers, featuring the complex and massive world of IoT and IoT-based solutions.
Author: Shahzad Muzaffar
Publisher: Springer Nature
ISBN: 3030959147
Category : Technology & Engineering
Languages : en
Pages : 162
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Book Description
This book discusses single-channel, device-to-device communication in the Internet of Things (IoT) at the signal encoding level and introduces a new family of encoding techniques that result in significant simplifications of the communication circuitry. These simplifications translate into lower power consumption, smaller form factors, and dynamic data rates that are tolerant to clock discrepancies between transmitter and receiver. Readers will be introduced to signal encoding that uses edge-coded signaling, based on the coding of binary data as counts of transmitted pulses. The authors fully explore the far-reaching implications of these novel signal-encoding techniques and illustrate how their usage can help minimize the need for complex circuitries for either clock and data recovery or duty-cycle correction. They also provide a detailed description of a complete ecosystem of hardware and firmware built around edge-code signaling. The ecosystem comprises an application-specific processor, automatic protocol configuration, power and data rate management, cryptographic primitives, and automatic failure recovery modes. The innovative IoT communication link and its associated ecosystem are fully in line with the standard IoT requirements on power, footprint, security, robustness, and reliability.
Author: Navin Kumar
Publisher: Springer Nature
ISBN: 3030792765
Category : Computers
Languages : en
Pages : 246
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Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Ubiquitous Communications and Network Computing, UBICNET 2021, held in March 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers were selected from 59 submissions and are basically arranged in different sessions on 5G networks, millimeter wave communication systems and emerging applications; quantum communication, IoT and emerging applications; data analytics and cloud computing; artificial neural network, machine learning and emerging applications.
