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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

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Battery-Less sensor Tags with RFID: A Survey

Battery-Less Sensor Tags with RFID: A Survey

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IEEE international conference on RFID

作者： Luís Felipe Vieira Silva Emanuel Pereira Mateus Batista Sandoval Júnior Ícaro Araújo Eliel Santos Jobson de Araújo Nascimento Erick Barboza Francisco Gomes Ismael Trindade Fraga Roger Davanso Daniel Oliveira dos Santos Campus Natal Universidade Federal do Rio Grande do Norte Natal Brazil Computing Institute of the Federal University of Alagoas Maceió Brazil Campus Palmas Federal University of Tocantins Palmas Brazil Design department RFIDO IC DESIGN Belo Horizonte Brazil R&D department Beontag - Auto Adesivos Paraná Campo Mourão Brazil

ISBN: (数字)9798350373592

ISBN: (纸本)9798350373608

This study delves into the evolution of battery-less Radio-Frequency Identification (RFID) sensor tags, a technology that uses wireless communication for object, person, or animal identification and tracking. Recognized for their cost effectiveness, extended useful life, and sustainability, these RFID tags are the focus due to their increasing significance. The main goal is to uncover trends and advances in battery-less RFID sensor systems, offering insights into their current status and future trajectories. The comprehensive review covers energy harvesting technologies, prevalent energy sources, participating countries, operational bands, and reading distances. The results indicate a predominant focus on the development of RFID devices without specific applications, with a notable emphasis on health and wellness applications. This study contributes valuable information on the dynamic landscape of battery-less RFID sensor technologies, fostering potential innovations in various sectors.

关键词： Wireless communication Technological innovation Costs Reviews Market research Trajectory Energy harvesting

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Study of a Safe and Secure Ecosystem based on IO-Link Wireless and a 5G Campus Network 26

Study of a Safe and Secure Ecosystem based on IO-Link Wirele...

引用

26th IEEE international conference on Emerging technologies and Factory Automation (ETFA)

作者： Doebbert, Thomas Robert Cammin, Christoph Scholl, Gerd Kaercher, Bernd Helmut Schmidt Univ Elect Measurement Engn Hamburg Germany Festo SE & Co KG Esslingen Germany

ISBN: (纸本)9781728129891

Wireless networks support highly flexible manufacturing processes and are recognized as a crucial pillar towards the digitization of industrial production (automation). While 5G is currently being marketed as universal solution for future wireless communication, high density of sensor and actuator nodes in industrial manufacturing environments with respect to latency times and reliability, still represents an enormous technical challenge. In the field of production automation standards, IOLink Wireless (IOLW) is already in operation offering energyefficient and cost-effective solutions, even with battery-powered smart sensor devices. In this paper, the deterministic ultrareliable low-latency communication (URLLC) features of 5G are combined with the outstanding performance characteristics of IOLW with respect to robustness and latency to realize even highly demanding safety applications in industrial environments.

关键词： 5G IO-Link Wireless Industrial Wireless Networks Wireless sensor Networks Functional Safey Security

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Anomaly Detection in IoT sensor Networks using Machine Learning

Anomaly Detection in IoT Sensor Networks using Machine Learn...

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2022 international conference on Computing, Communication, Security and Intelligent Systems, IC3SIS 2022

作者： Mithran, Kavya Gopi, C. Government Engineering College Department of Electronics and Communication Engineering Thrissur India

ISBN: (数字)9781665468831

ISBN: (纸本)9781665468831

Anomaly Detection is a promising new approach for quality control in wireless networks and telecommunication networks. New modern network architecture enables intensive computing and communication at the edge of the network. It can thus support large scale IoT applications. The proper and timely detection of attacks in the Internet of Things (IoT) infrastructure is very important. With the rise in IoT technologies in various application areas these days, the attacks and threats are also on the verge of exploiting this. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scanning, Spying and Wrong Setup are the different attacks and anomalies which can cause a communication system failure. In the past decades an enormous rise in the internet applications was seen, which has led to concreting the need of security of the information networks by many folds. As the network operations continuously changes in different time frames, an anomaly detection system should be capable of adapting dynamically to the situations. The objective of this paper is to identify various attacks on IoT sensor networks and the development of a generalized anomaly detection model using machine learning techniques to check if an IoT sensor network is anomalous or not. Kaggle and NSL-KDD datasets are used for this study. Model is trained based on the Levenberg - Marquardt optimization using TRAINLM training function and LEARNGDM adaptation learning function. High performance was exhibited by the model. Menu based environment is also created in Jupyter in this paper. © 2022 IEEE.

关键词： Internet of things

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Poster: Motion sensor Based Dragging Feet Detection Using Lightweight Classification Model

Poster: Motion Sensor Based Dragging Feet Detection Using Li...

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IEEE international conference on Connected Health: applications, Systems and Engineering technologies (CHASE)

作者： Michelle Zhou Shuangquan Wang Jamestown High School Williamsburg Virginia Salisbury University Salisbury Maryland

ISBN: (数字)9798350345018

ISBN: (纸本)9798350345025

Dragging feet is an important indicator of potential falls. We propose using a motion sensor-embedded wearable device deployed near the ankle to sense walking motions and detect dragging feet continuously. To adapt to the limited computation ability and power supply of the wearable device, only several most representative features are selected to build a lightweight classification model. This model can achieve high recognition accuracy while reducing computation and energy costs. Experimental results show that using only five features common to all users, the proposed method can accurately distinguish normal walking from dragging feet. The average accuracy of the four algorithms is greater than or equal to 93.0% for all five users and up to 98.7% for user 2.

关键词： Legged locomotion Adaptation models Accuracy Costs Power supplies Computational modeling Feature extraction

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Wake-up Receiver based routing protocol for indoor Wireless sensor Networks 18

Wake-up Receiver based routing protocol for indoor Wireless ...

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18th international conference on Network and Service Management (CNSM) - Intelligent Management of Disruptive Network technologies and Services

作者： Weber, Maximilian Fersi, Ghofrane Derbel, Faouzi Leipzig Univ Appl Sci Leipzig Smart Diagnost & Online Monitoring Leipzig Germany Univ Sfax Natl Sch Engn Sfax Dept Comp Sci & Appl Math Res Lab Dev & Control Distributed Applicat BP 1173-3038 Sfax Tunisia

ISBN: (纸本)9783903176515

Wake-up Receiver (WuRx) is one of the most trivial and effective solutions for energy-constrained networks and a promising solution for monitoring various phenomena in the sense of the Internet of Things (IoT). The most important and challenging issue in WuRx-based networks is the time efficient routing process in an energy efficient manner. Effectively, awaking each node needed in the routing process recursively requires a lot of time which is not suitable for time-critical applications. In this paper, we propose a novel Wake-up Receiver based routing protocol called Time Efficient WuRx-based Routing (TEW) that ensures energy optimised and time efficient routing in indoor scenarios. In our proposed approach, the network is divided into clusters at which each Fog Node manages the routes for data transmission in an asymmetric manner. When the Sink requires data from a specific set of nodes of a particular cluster, the Sink transmits a DataPts request to the corresponding Fog Node. In addition, the Fog Node sends instructions by means of a single Request (REQ) packet informing the corresponding nodes how often they should act as relays before switching to the sleeping mode. The measurement results show that our proposed approach has higher energy efficiency and achieves significant performance improvements in data delivery delay.

关键词： IoT/WSN WuRx Clusters Relays Asymmetric Link Routing Latency-Minimisation Energy-Efficiency

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Collision Risk Prediction for Vehicles with sensor Data Fusion through a Machine Learning Pipeline

Collision Risk Prediction for Vehicles with Sensor Data Fusi...

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ASCE international conference on Transportation and Development (ICTD) - Application of Emerging technologies

作者： Jiang, Yongpeng Hu, Jianming Liu, Hantao Tsinghua Univ Dept Automat Beijing Peoples R China

ISBN: (数字)9780784484319

ISBN: (纸本)9780784484319

Traffic situation awareness in urban environments is an essential technology for applications such as collision detection and congestion prediction. Correlational research has received much attention due to the significance of traffic security and intelligence. On this issue, the combination of multiple sensors (e.g., lidar, radar, monocular, and binocular cameras) promotes the perception and decision-making process of vehicles, based on an integrated information about the environment. The paper proposed an end-to-end algorithm utilizing multi-sensor data fusion to forecast collision risk of vehicles. The algorithm was implemented in two stages. In the first stage, both radar and camera data was taken as input. Then, motion features of vehicles were extracted through object detection and tracking algorithms. Afterwards, we performed trajectory prediction and motion state estimation using data obtained from last step. During the process, collision risk for each vehicle was estimated according to indicators like time-to-collision (TTC) and minimum-future-spacing (MFS). In the second stage, the extended Kalman filter (EKF) was applied to smooth original predictions, thus improving the degree of confidence in the data. In the algorithm implementation, algorithms of object detection, tracking, and trajectory prediction were connected with necessary modifications, reaching a balance between accuracy and efficiency. The algorithm was tested with nuScenes data set to prove its effectiveness in actual traffic scenarios. Experiments showed that our algorithm could output acceptable collision risk of vehicles over time, thus providing information for further inference about traffic situations.

关键词： Vehicles

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A Non-Local Means Denoising Co-Processor with Data Reuse Scheme and Dual-Clock Domain for High Resolution Image sensor

A Non-Local Means Denoising Co-Processor with Data Reuse Sch...

引用

IEEE international conference on Integrated Circuits, technologies and applications (ICTA)

作者： Zhiyue Gao Fengwei An Lei Chen Southern University of Science and Technology

This paper presents a non-local means (NLM) co-processor with data reuse scheme and dual-clock domain for high resolution image sensor The key features are as follows: 1) The NLM is accelerated by the parallel pixel-level pipeline architecture with a compact single-port SRAM-based line buffer for serial-parallel conversion. 2) The algorithm is optimized by using L1 loss calculation instead of the L2 loss calculation for Similarity computing, and the fitted quantized look-up-table for exponential operations to reduce logic utilization; 3) the data reuse method for the weights calculation reduces the area of the corresponding circuit by 6/7; 4) Most of the parallel computing are implemented in the fast core, which runs at twice the pixel clock frequency, thus halve the amount of computation per cycle. The architecture achieves a real-time denoising at 60 frames/second for full high definition (FHD $\mathbf{1920}\times \mathbf{1080}$ ) videos with the energy efficiency of only 36.22 mW/frame.

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Performance Evaluation of Distance-Based Random Mean Shift Clustering and Humpback Whale Optimization Algorithm for Sink Node Placement in WBAN 18th

Performance Evaluation of Distance-Based Random Mean Shift ...

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18th EAI international conference on Body Area Networks, BODYNETS 2024

作者： Hanif, Maria Ahmad, Rizwan Ahmed, Waqas Drieberg, Micheal Alam, Muhammad Mahtab Islamabad44000 Pakistan Islamabad44000 Pakistan Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS Seri Iskandar32610 Malaysia Thomas Johann Seebeck Department of Electronics Tallinn University of Technology Tallinn12616 Estonia

ISBN: (纸本)9783031725234

Wireless Body Area Networks (WBANs) have transformed human life, bringing about notable advancements in healthcare, fitness, entertainment, and sports applications. Sink node placement in WBANs has an impact on network connectivity, power efficiency, and overall network performance. Designing the placement of sinks in Wireless Body Area Networks (WBANs) poses two significant challenges: ensuring energy efficiency and establishing robust connectivity. To track a patient’s vital signs, sensor nodes of a WBAN are implanted in various locations throughout the patient. Additionally, a sink node receives the physiological data sent by the WBAN sensor nodes. As a result, choosing the best position for the central hub node turns out to be essential for minimizing node energy consumption during data transmission. Considering the hardness of the problem, this paper presents Distance-based random mean shift clustering(D-RMS). In D-RMS we apply: a) Random coordinator placement and b) Mean shift clustering algorithm to compute optimal position and compare it with the state-of-the-art approaches i.e.;Humpback Whale Optimization Algorithm (HWOA) for sink node placement. The best position of coordinator placement using D-RMS and HWOA is (97.9175, 115.76) and (97,100). The results demonstrate that the suggested approach (D-RMS) is more stable and has lower localization errors than earlier ones. Overall, the residual energy of D-RMS is 92% and HWOA is 90%. Moreover, the Average localization error (ALE) of D-RMS and HWOA is 0.568 m and 0.619 m. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： sensor nodes

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Development and Analysis of Vibrational based Piezoelectric Micro Energy Harvester for WSN sensor Node Capturing Abundant Vibration of Suspension Bridge 2

Development and Analysis of Vibrational based Piezoelectric ...

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2nd international conference on Smart technologies for Smart Nation, SmartTechCon 2023

作者： Riaz, Amna Mohamed, Ramizi Sarker, Mahidur R. Dept. of Electrical Electronic & System Engineering Universiti Kebangsaan Malaysia UKM Bangi Selangor 43600 Malaysia Institute of Visual Informatics Universiti Kebangsaan Malaysia UKM Bangi 43600 Malaysia

ISBN: (纸本)9798350305418

The technological advances in electronics have enabled the development of low-power devices with micro-sensors that can be used in a wide range of monitoring applications, IoT and WSN. Research into alternative solutions for powering these devices has led to the study of vibration energy harvesters (EH) and in vibrational energy harvesting the piezoelectric micro-cantilevers is of interest. The main challenge is the design of power sources for these microelectronic devices. This paper presents the design of an ultra-low frequency vibration EH using a piezoelectric cantilever beam (PCB) with a multi-branch, which contains one main beam and six branched beams. The PCB harvester captures the vibrational energy of the suspension bridge. The main problem in the design of an EH is to match the resonance frequency of the PCB harvester with that of the suspension bridge which is below 4Hz. For a piezoelectric EH, the characteristics of a cantilever beam with a multi-branch structure were examined using COMSOL Multiphysics solid works and the beam's 3-D geometry was designed. The COMSOL Multiphysics' Finite Element Analysis (FEA) was used to simulate and analyze the PCB with multi-branch. The output power of a PCB harvester depends upon the frequency of vibration. In this study, we analyzed the relationship between the geometry of the PCB harvester and the first 6 Eigen frequencies in COMSOL Multiphysics. In FEA the cantilever beam with branch structure is vibrated by applying force on the fixed end which is equal to 1g (9.8m/s2) acceleration vibration source. As a result, a resonance with a frequency of 2.5Hz occurred in the PCB with multi-branch EH. © 2023 IEEE.

关键词： energy harvesting finite element analysis low power micro devices Piezoelectric vibration

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A Magnetic Coupling-Based Technique for Buried Antenna's Frequency Adjustment in Wet Soil 4

A Magnetic Coupling-Based Technique for Buried Antenna's Fre...

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4th international conference on Advanced Communication technologies and Networking (CommNet)

作者： El Mejjatti, Mounir Habbani, Ahmed El Bouanani, Faissal Mohammed V Univ Rabat ENSIAS Rabat Morocco

ISBN: (纸本)9781665403061

Wireless Underground sensor Networks for precision agriculture applications consist of wirelessly connected underground sensor nodes that communicate through the soil. Thus, the resonant frequency of the buried antenna depends on the soil's dielectric permittivity. In addition, the soil's volumetric water content in nature can vary unpredictably due to the weather conditions and irrigation, causing permittivity fluctuations and hence, frequency instability of deployed antennas. In this paper, we propose an inductive coupling-based technique allowing the self-adjustment of the buried loop antenna's resonant frequency subject to a wet soil environment.

关键词： Inductive coupling precision agriculture rectangular loop antenna Wireless Underground sensor Networks

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