Radio frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to power the next-generation wireless networks As this emerging technology enables proactive energy replenishment of wireless devices, it is advantageous in supporting applications with quality-of-service requirements In this paper, we present a comprehensive literature review on the research progresses in wireless networks with RF energy harvesting capability, which is referred to as RF energy harvesting networks (RF-EHNs) First, we present an overview of the RF-EHNs including system architecture, RF energy harvesting techniques, and existing applications Then, we present the background in circuit design as well as the state-of-the-art circuitry implementations and review the communication protocols specially designed for RF-EHNs We also explore various key design issues in the development of RF-EHNs according to the network types, ie, single-hop networks, multiantenna networks, relay networks, and cognitive radio networks Finally, we envision some open research directions

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Обнаружение транспортных средств на изображениях загородных шоссе на основе метода Single shot multibox Detector

Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several competitions related to Computer Vision and Image Processing. Some of the exciting application areas of CNN include Image Classification and Segmentation, Object Detection, Video Processing, Natural Language Processing, and Speech Recognition. The powerful learning ability of deep CNN is primarily due to the use of multiple feature extraction stages that can automatically learn representations from the data. The availability of a large amount of data and improvement in the hardware technology has accelerated the research in CNNs, and recently interesting deep CNN architectures have been reported. Several inspiring ideas to bring advancements in CNNs have been explored, such as the use of different activation and loss functions, parameter optimization, regularization, and architectural innovations. However, the significant improvement in the representational capacity of the deep CNN is achieved through architectural innovations. Notably, the ideas of exploiting spatial and channel information, depth and width of architecture, and multi-path information processing have gained substantial attention. Similarly, the idea of using a block of layers as a structural unit is also gaining popularity. This survey thus focuses on the intrinsic taxonomy present in the recently reported deep CNN architectures and, consequently, classifies the recent innovations in CNN architectures into seven different categories. These seven categories are based on spatial exploitation, depth, multi-path, width, feature-map exploitation, channel boosting, and attention. Additionally, the elementary understanding of CNN components, current challenges, and applications of CNN are also provided.

https://link.springer.com/content/pdf/10.1007/s10462-020-09825-6.pdf

A survey of the recent architectures of deep convolutional neural networks

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Design Of Analog Cmos Integrated Circuits

Resonance-based wireless power delivery is an efficient technique to transfer power over a relatively long distance. This technique typically uses four coils as opposed to two coils used in conventional inductive links. In the four-coil system, the adverse effects of a low coupling coefficient between primary and secondary coils are compensated by using high-quality (Q) factor coils, and the efficiency of the system is improved. Unlike its two-coil counterpart, the efficiency profile of the power transfer is not a monotonically decreasing function of the operating distance and is less sensitive to changes in the distance between the primary and secondary coils. A four-coil energy transfer system can be optimized to provide maximum efficiency at a given operating distance. We have analyzed the four-coil energy transfer systems and outlined the effect of design parameters on power-transfer efficiency. Design steps to obtain the efficient power-transfer system are presented and a design example is provided. A proof-of-concept prototype system is implemented and confirms the validity of the proposed analysis and design techniques. In the prototype system, for a power-link frequency of 700 kHz and a coil distance range of 10 to 20 mm, using a 22-mm diameter implantable coil resonance-based system shows a power-transfer efficiency of more than 80% with an enhanced operating range compared to ~40% efficiency achieved by a conventional two-coil system.

Design and Optimization of Resonance-Based Efficient Wireless Power Delivery Systems for Biomedical Implants

An energy-efficient application-specific integrated circuit (ASIC) featured with a work-on-demand protocol is designed for wireless body sensor networks (WBSNs) in medical applications. Dedicated for ultra-low-power wireless sensor nodes, the ASIC consists of a low-power microcontroller unit (MCU), a power-management unit (PMU), reconfigurable sensor interfaces, communication ports controlling a wireless transceiver, and an integrated passive radio-frequency (RF) receiver with energy harvesting ability. The MCU, together with the PMU, provides quite flexible communication and power-control modes for energy-efficient operations. The always-on passive RF receiver with an RF energy harvesting block offers the sensor nodes the capability of work-on-demand with zero standby power. Fabricated in standard 0.18-?m complementary metal-oxide semiconductor technology, the ASIC occupies a die area of 2 mm × 2.5 mm. A wireless body sensor network sensor-node prototype using this ASIC only consumes < 10-nA current under the passive standby mode, and < 10 ?A under the active standby mode, when supplied by a 3-V battery.

An Energy-Efficient ASIC for Wireless Body Sensor Networks in Medical Applications

Radio frequency (RF) electrostatic discharge (ESD) protection design emerges as a new challenge to RF integrated circuits (IC) design, where the main problem is associated with the complex interactions between the ESD protection network and the core RFIC circuit being protected. This paper reviews recent development in RF ESD protection circuit design, including mis-triggering of RF ESD protection structures, ESD-induced parasitic effects on RFIC performance, RF ESD protection solutions, as well as characterization of RF ESD protection circuits.

A review on RF ESD protection design

This paper proposes an architecture of the wireless endoscopy system for the diagnoses of whole human digestive tract and real-time endoscopic image monitoring. The low-power digital IC design inside the wireless endoscopic capsule is discussed in detail. A very large scale integration (VLSI) architecture of three-stage clock management is applied, which can save 46% power inside the capsule compared with the design without such a low-power design. A stoppable ring crystal oscillator with minimal overhead is used in the sleep mode, which results in about 60-muW system power dissipation in sleep mode. A new image compression algorithm based on Bayer image format and its corresponding VLSI architecture are both proposed for low-power, high-data volume. Thus, 8 frames per second with 320*288 pixels can be transmitted with 2 Mb/s. The digital IC design also assures that the capsule has many flexible and useful functions for clinical application. The digital circuits were verified on field-programmable gate arrays and have been implemented in 0.18-mum CMOS process with 6.2 mW

A Low-Power Digital IC Design Inside the Wireless Endoscopic Capsule

This paper presents a low-power transceiver with a reconfigurable sliding-IF (intermediate frequency) architecture targeted for wireless body area networks hubs covering 400 MHz and 2.4 GHz bands. By using this architecture, a 1608-1988 MHz PLL synthesizer with only 21% tuning range can fully cover all the available bands around 400 MHz and 2.4 GHz as defined by IEEE 802.15.6 NB (narrow band) and ZigBee. The dual-band transceiver has been designed in 0.18 μm CMOS process. The design consists of a receiver with a wideband front-end and a reconfigurable amplifier-mixer, a transmitter with a reconfigurable two stage full quadrature mixer, a ΣΔ fractional-N PLL and some auxiliary circuits. The measurement result has demonstrated that the proposed transceiver can satisfy the dual-band requirements with comparable or even better performance in noise, receiver sensitivity and power consumption compared to previously-reported transceivers for only a single band.

A Reconfigurable Sliding-IF Transceiver for 400 MHz/2.4 GHz IEEE 802.15.6/ZigBee WBAN Hubs With Only 21% Tuning Range VCO

This paper presents a novel maximum efficiency point (MEP) tracking method for wireless power transfer (WPT) systems. It is proved that at the MEP for a typical system containing a boost converter on the receiving end, the derivative $dD/d{V_{{\text{in}}}}$ ( ${V_{{\text{in}}}}$ being the inverter's dc input and $D$ being the duty cycle of the converter) is equal to or smaller than a constant $\beta $ that is determined by system parameters. By tuning ${V_{{\text{in}}}}$ and comparing $dD/d{V_{{\text{in}}}}$ with $\beta $ , the MEP can be tracked without a power or current sensor, hence reducing the tracking cost. A WPT system is demonstrated experimentally to verify the method. When the diameters of and the vertical distance between the transmitting and receiving coils are 4.3 and 2.35 cm, respectively, without horizontal misalignment, high efficiency is maintained even when the load ranges from 5 to 100 Ω, and the efficiency improvement reaches 41.2% when compared to the measured efficiencies without the proposed method. The differences between the maximum efficiencies tracked by the proposed method and the manually searched maximum values are at most 1.8%. Extension of the proposed method to WPT systems employing other popular forms of inverter, dc/dc converter, and coil topology is also presented.

Chun Zhang

Papers

An Energy-Efficient ASIC for Wireless Body Sensor Networks in Medical Applications

A review on RF ESD protection design

A Low-Power Digital IC Design Inside the Wireless Endoscopic Capsule

A Reconfigurable Sliding-IF Transceiver for 400 MHz/2.4 GHz IEEE 802.15.6/ZigBee WBAN Hubs With Only 21% Tuning Range VCO

Low-Cost Maximum Efficiency Tracking Method For Wireless Power Transfer Systems