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Author: Yuanming Shi Publisher: Springer Nature ISBN: 9811538700 Category : Technology & Engineering Languages : en Pages : 152
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 : 152
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: Hossein Pirayesh Publisher: ISBN: Category : Electronic dissertations Languages : en Pages : 0
Book Description
While interest in Internet of Things (IoT) applications has surged in recent years, the broad diversity in their constraints, such as power consumption, channel bandwidth, link robustness, and packet latency, still challenges state-of-the-art technologies to enable efficient and ubiquitous wireless connectivity for IoT devices in many practical scenarios. In this thesis, we study three sets of primary constraints in developing IoT networks: energy efficiency, spectral efficiency, and physical-layer security.First, this thesis introduces EE-IoT, an energy-efficient wireless communication scheme for IoT networks. The key enabler of EE-IoT is an asymmetric physical-layer design that allows low-complex and single-carrier IoT devices to communicate with multi-carrier-based wireless local-area network (WLAN) access point (AP) at a very low sampling rate, leading to a significant reduction of IoT devices' hardware complexity and power consumption. This thesis further introduces a practical design, termed WiFi-IoT, to enable a transparent coexistence of IoT devices and legacy Wi-Fi devices. WiFi-IoT design allows a multi-antenna AP to simultaneously serve Wi-Fi and IoT devices.℗ Second, to improve the spectral efficiency of dense IoT networks, this thesis presents a practical uplink distributed multiple-input multiple-output (MIMO) scheme, termed UD-MIMO, for WLANs that enables concurrent data transmissions from multiple users to multiple APs in the absence of fine-grained inter-node synchronization. UD-MIMO leverages new co-channel interference management and data decoding techniques that allow WLANs' APs to decode concurrent data packets from asynchronous users. This thesis further introduces a first-of-its-kind multi-antenna long-range (LoRa) gateway, termed MaLoRaGW, that enables multi-user MIMO LoRa communications, marking a significant advancement in LoRa network capabilities. MaLoRaGW features a joint design for uplink packet detection and downlink beamforming, enabling it to concurrently serve multiple LoRa user devices in both uplink and downlink. The key component of MaLoRaGW is a baseband signal design for uplink packet collision recovery, accurate channel estimation, and implicit beamforming.Third, this thesis proposes two jamming-resilient receiver architectures to secure delay-constrained IoT networks against jamming attacks. The proposed schemes leverage multi-antenna technology and new signal detection methods to suppress jamming signals and decode desired signals. It first introduces JammingBird, a multi-antenna receiver design for vehicular ad hoc networks that can tolerate high-power and in-band constant jamming attacks. JammingBird uses two MIMO-based modules, a jamming-resistant synchronizer and a jamming suppressor module, in its physical-layer design. Jamming-resistant synchronizer employs a spatial projection filter that alleviates the impact of jamming signal and allows JammingBird to conduct packet timing and frequency synchronizations. The jamming suppressor module leverages the spatial degrees of freedom provided by multiple antennas to cancel the jamming signal and recover the signal of interest. This thesis further proposes a MIMO-based receiver design to secure ZigBee communications against constant jamming attacks. The enabler of the proposed scheme is a learning-based jamming mitigation method, which can mitigate unknown interference using an optimized neural network.This thesis provides details on the system implementation, experimental setup, and performance evaluation of the proposed schemes in real-world environments. It further delves into an in-depth analysis of the lessons learned and highlights the open issues in the design of efficient and secure wireless IoT communications and networks.
Author: Aurora González-Vidal Publisher: Springer Nature ISBN: 3031209362 Category : Computers Languages : en Pages : 432
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: Nurul Huda Mahmood Publisher: Springer Nature ISBN: 3030514730 Category : Technology & Engineering Languages : en Pages : 304
Book Description
This book provides a comprehensive overview of the most relevant research and standardization results in the area of wireless networking for Industrial IoT, covering both critical and massive connectivity. Most chapters in this book are intended to serve as short tutorials of particular topics, highlighting the main developments and ideas, as well as giving an outlook of the upcoming research challenges. The book is divided into four parts. The first part focuses on challenges, enablers and standardization efforts for reliable low-latency communication in Industrial IoT networks. The next part focuses on massive IoT, which requires cost- and energy-efficient technology components to efficiently connect a massive number of low-cost IoT devices. The third part covers three enabling technologies in the context of Industrial IoT: Security, Machine Learning/Artificial Intelligence and Edge Computing. These enablers are applicable to both connectivity types, critical and massive IoT. The last part covers aspects of Industrial IoT related to connected transportation that are important in, for example, warehouse and port logistics, product delivery and transportation among industries. Presents a comprehensive guide to concepts and research challenges in wireless networking for Industrial IoT; Includes an introduction and overview of such topics as 3GPP standardization for Industrial IoT, Time Sensitive Networking, system dependability over wireless networks, energy-efficient wireless networks, IoT security, ML/AI for Industrial IoT and connected transportation systems; Features contributions by well-recognized experts from both academia and industry.
Author: Rolando Herrero Publisher: Springer Nature ISBN: 3031284437 Category : Technology & Engineering Languages : en Pages : 543
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: Shahzad Muzaffar Publisher: Springer Nature ISBN: 3030959147 Category : Technology & Engineering Languages : en Pages : 162
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: Publisher: CRC Press ISBN: 9781003426974 Category : Artificial intelligence Languages : en Pages : 0
Book Description
"This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle. This book recognizes that LPWANs don't operate in isolation; they are intimately intertwined with Artificial Intelligence and Machine Learning (AI/ML) technologies, which play a pivotal role in optimizing LPWAN performance and capabilities. The book is a collection of original contributions regarding air interface, transmission technologies and novel network architectures, such as network slicing, cloud/fog/edge computing, ad hoc networks and software defined network. Also, this book provides a guide for researchers of IoT applications to choose the suitable LPWAN technologies and describe the design aspects, network architectures, security issues and challenges. This book: Explains machine learning algorithms onto low-power wide area network sensors for compressed communications. Illustrates wireless-based internet of things networks using low-power wide area networks technology for quality air. Presents cognitive internet of things networks using wireless communication, and low power wide area network technologies for Ad Hoc Networks. Discusses a comprehensive study of low-power wide area networks for flying Ad Hoc networks. Showcases the study of energy efficient techniques aided by low-power wide area network technologies for the internet of things networks. This book is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology"--
Author: Francis daCosta Publisher: Apress ISBN: 1430257415 Category : Computers Languages : en Pages : 185
Book Description
Apress is proud to announce that Rethinking the Internet of Things was a 2014 Jolt Award Finalist, the highest honor for a programming book. And the amazing part is that there is no code in the book. Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that personal computers, tablets and smart phones are. Billions of interconnected devices will be monitoring the environment, transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans and resources. Many of these sensors and actuators will be networked into autonomous sets, with much of the information being exchanged machine-to-machine directly and without human involvement. Machine-to-machine communications are typically terse. Most sensors and actuators will report or act upon small pieces of information - "chirps". Burdening these devices with current network protocol stacks is inefficient, unnecessary and unduly increases their cost of ownership. This must change. The architecture of the Internet of Things must evolve now by incorporating simpler protocols toward at the edges of the network, or remain forever inefficient. Rethinking the Internet of Things describes reasons why we must rethink current approaches to the Internet of Things. Appropriate architectures that will coexist with existing networking protocols are described in detail. An architecture comprised of integrator functions, propagator nodes, and end devices, along with their interactions, is explored.
Author: Yuanming Shi
Author: Yuanming Shi
Author: Hossein Pirayesh
Author: Aurora González-Vidal
Author: Nurul Huda Mahmood
Author: Rolando Herrero
Author: Shahzad Muzaffar
Author: 
Author: Ajay Prasad
Author: Francis daCosta
Author: Sudip Misra