scholarly journals TagFi

2021 ◽  
Vol 5 (1) ◽  
pp. 1-29
Author(s):  
Elahe Soltanaghaei ◽  
Adwait Dongare ◽  
Akarsh Prabhakara ◽  
Swarun Kumar ◽  
Anthony Rowe ◽  
...  
Keyword(s):  
Low Power ◽  
Multipath Propagation ◽  
Low Cost ◽  
Context Aware ◽  
Ultra Low Power ◽  
New Approach ◽  
Localization Accuracy ◽  
Tag Localization ◽  
The Cost ◽  
Single Receiver

Tag localization is crucial for many context-aware and automation applications in smart homes, retail stores, or warehouses. While custom localization technologies (e.g RFID) have the potential to support low-cost battery-free tag tracking, the cost and complexity of commissioning a space with beacons or readers has stifled adoption. In this paper, we explore how WiFi backscatter localization can be realized using the existing WiFi infrastructure already deployed for data applications. We present a new approach that leverages existing WiFi infrastructure to enable extremely low-power and accurate tag localization relative to a single scanning device. First, we adopt an ultra-low power tag design in which the tag blindly modulates ongoing WiFi packets using On-Off Keying (OOK). Then, we utilize the underlying physical properties of multipath propagation to detect the passive wireless reflection from the tag in the presence of rich multipath propagations. Finally, we localize the tag from a single receiver by forming a triangle between the tag reflection and the LoS path between the two WiFi transceivers. We implement TagFi using a customized backscatter tag and off-the-shelf WiFi chipsets. Our empirical results in a cluttered office building demonstrate that TagFi achieves a median localization accuracy of 0.2m up to 8 meters range.

Janus – A New Approach to Air Combat Pilot Training

2019 ◽  
Vol 2019 (4) ◽  
pp. 7-22
Author(s):  
Georges Bridel ◽  
Zdobyslaw Goraj ◽  
Lukasz Kiszkowiak ◽  
Jean-Georges Brévot ◽  
Jean-Pierre Devaux ◽  
...  
Keyword(s):  
Low Cost ◽  
Cost Effective ◽  
High Energy ◽  
Training System ◽  
Embedded Sensors ◽  
Pilot Training ◽  
New Approach ◽  
Combat Aircraft ◽  
Air Combat ◽  
The Cost

Abstract Advanced jet training still relies on old concepts and solutions that are no longer efficient when considering the current and forthcoming changes in air combat. The cost of those old solutions to develop and maintain combat pilot skills are important, adding even more constraints to the training limitations. The requirement of having a trainer aircraft able to perform also light combat aircraft operational mission is adding unnecessary complexity and cost without any real operational advantages to air combat mission training. Thanks to emerging technologies, the JANUS project will study the feasibility of a brand-new concept of agile manoeuvrable training aircraft and an integrated training system, able to provide a live, virtual and constructive environment. The JANUS concept is based on a lightweight, low-cost, high energy aircraft associated to a ground based Integrated Training System providing simulated and emulated signals, simulated and real opponents, combined with real-time feedback on pilot’s physiological characteristics: traditionally embedded sensors are replaced with emulated signals, simulated opponents are proposed to the pilot, enabling out of sight engagement. JANUS is also providing new cost effective and more realistic solutions for “Red air aircraft” missions, organised in so-called “Aggressor Squadrons”.

Devising a novel visible light based low-cost ultra-low-power gesture recognition system

2017 ◽  
Author(s):  
Tusher Chakraborty ◽  
Md. Nasim ◽  
Sakib Md. Bin Malek ◽  
Md. Taksir Hasan Majumder ◽  
Md. Samiul Saeef ◽  
...  
Keyword(s):  
Low Power ◽  
Visible Light ◽  
Gesture Recognition ◽  
Low Cost ◽  
Recognition System ◽  
Ultra Low Power

Hardware Design of Low-Power ZigBee Wireless Sensor Network Node

2014 ◽  
Vol 926-930 ◽  
pp. 2482-2485
Author(s):  
Si Zu Hou ◽  
Ning Li
Keyword(s):  
Wireless Sensor Network ◽  
Low Power ◽  
Sensor Network ◽  
Low Cost ◽  
Hardware Design ◽  
Wireless Sensor ◽  
Important Indicator ◽  
Network Nodes ◽  
Zigbee Technology ◽  
The Cost

ZigBee technology is widely used in wireless sensor networks with the advantages of low power, low cost, convenient networking, etc. Design of ZigBee-based wireless sensor network nodes have become a demand. The nodes are generally placed in some occasions where the power supply inconvenient and require battery-powered, so the low-power of the nodes is an important indicator. The node chose CC2530 as the hardware core and transplanted Z-Stack protocol stack. It collected different data through different sensors and used ZigBee technology for wireless communication. This article describes the process of node hardware design, and reduces the power consumption of the node with choosing low-power devices, reducing the operating frequency and other methods. Low-power node saves the cost and increases the life of the nodes and the network. So it is good for increasing the continuity and stability of the network.

scholarly journals WIRELESS REAL TIME PROPORTIONAL CONTROL SYSTEM

2013 ◽  
pp. 15-20
Author(s):  
UJJWALA G. BORATE ◽  
PROF. R.T. PATIL
Keyword(s):  
Low Power ◽  
Real Time ◽  
Low Cost ◽  
Ultra Low Power ◽  
Proportional Control ◽  
Star Network ◽  
Precise Control ◽  
Zigbee Technology ◽  
Temperature And Humidity ◽  
Transceiver Module

This system provides low power consuming and low cost wireless sensor network. This system provides a real time temperature and humidity. It also gives proportional control action. This system consists of TI’s MSP430 microcontroller which consumes ultra low power and improves the overall system performance. The Sensorion’s SHT 11 sensor is used to measure temperature and humidity. Sensor SHT 11 consumes low power and gives the fully calibrated digital output. Zigbee technology is used for wireless communication. Zigbee is low power consuming transceiver module. It operates within the ISM 2.4 GHz frequency band. AT and API command modes configure module parameters. RF data rate is 250 kbps. To achieve the proportional control triac and MOC 3022 are used. The star network topology is implemented. The temperature of earth goes on increasing due to global warming, deforestation, pollution, etc. Due to this the temperature of atmosphere also increases which is harmful and dangerous for many systems. This system provides precise control of temperature and humidity in Green House, Art Galleries and Industries.

scholarly journals Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1401
Author(s):  
Haq Nawaz ◽  
Ahsen Tahir ◽  
Nauman Ahmed ◽  
Ubaid U. Fayyaz ◽  
Tayyeb Mahmood ◽  
...  
Keyword(s):  
Low Power ◽  
Indoor Localization ◽  
Low Cost ◽  
Smart Homes ◽  
Indoor Positioning ◽  
High Accuracy ◽  
Positioning System ◽  
Telemetry Data ◽  
Ultra Low Power ◽  
Indoor Positioning System

Global navigation satellite systems have been used for reliable location-based services in outdoor environments. However, satellite-based systems are not suitable for indoor positioning due to low signal power inside buildings and low accuracy of 5 m. Future smart homes demand low-cost, high-accuracy and low-power indoor positioning systems that can provide accuracy of less than 5 m and enable battery operation for mobility and long-term use. We propose and implement an intelligent, highly accurate and low-power indoor positioning system for smart homes leveraging Gaussian Process Regression (GPR) model using information-theoretic gain based on reduction in differential entropy. The system is based on Time Difference of Arrival (TDOA) and uses ultra-low-power radio transceivers working at 434 MHz. The system has been deployed and tested using indoor measurements for two-dimensional (2D) positioning. In addition, the proposed system provides dual functionality with the same wireless links used for receiving telemetry data, with configurable data rates of up to 600 Kbauds. The implemented system integrates the time difference pulses obtained from the differential circuitry to determine the radio frequency (RF) transmitter node positions. The implemented system provides a high positioning accuracy of 0.68 m and 1.08 m for outdoor and indoor localization, respectively, when using GPR machine learning models, and provides telemetry data reception of 250 Kbauds. The system enables low-power battery operation with consumption of <200 mW power with ultra-low-power CC1101 radio transceivers and additional circuits with a differential amplifier. The proposed system provides low-cost, low-power and high-accuracy indoor localization and is an essential element of public well-being in future smart homes.

scholarly journals Low-Cost and Ultra-Low-Power Consuming RTUs for Use in IoT Systems

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Low Power ◽  
Low Cost ◽  
General Packet Radio Service ◽  
Ultra Low Power ◽  
Packet Radio

This paper presents the design and realization of low-cost and ultra-low-power consuming remote transfer units (RTUs), working as communication gateways for collecting, aggregating, and forwarding IoT data to information centers (servers) in the cloud for further processing and data mining. Two types of RTUs, targeting different application scenarios and utilizing different communication standards, were designed – one, based on the General Packet Radio Service (GPRS) standard, and another – on the NarrowBand Internet of Things (NB-IoT) standard. The developed RTUs were experimentally tested and their use was successfully demonstrated in different IoT systems.

scholarly journals Effects of the Target on the Performance of an Ultra-Low Power Eddy Current Displacement Sensor for Industrial Applications

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1287
Author(s):  
Alessandro Bertacchini ◽  
Marco Lasagni ◽  
Gabriele Sereni
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Eddy Current ◽  
Supply Voltage ◽  
Low Cost ◽  
Industrial Applications ◽  
Complete Characterization ◽  
Displacement Sensor ◽  
Ultra Low Power ◽  
Industry Automation

The demand for smart, low-power, and low-cost sensors is rapidly increasing with the proliferation of industry automation. In this context, an Ultra-Low Power Eddy Current Displacement Sensor (ULP-ECDS) targeting common industrial applications and designed to be embedded in wireless Industrial Internet of Things (IIoT) devices is presented. A complete characterization of the realized ULP-ECDS operating with different metallic targets was carried out. The choice of the considered targets in terms of material and thickness was inspired by typical industrial scenarios. The experimental results show that the realized prototype works properly with extremely low supply voltages, allowing for obtaining an ultra-low power consumption, significantly lower than other state-of-the-art solutions. In particular, the proposed sensor reached the best resolution of 2 µm in case of a carbon steel target when operated with a supply voltage of 200 mV and with a power consumption of 150 µW. By accepting a resolution of 12 µm, it is possible to further reduce the power consumption of the sensor to less than 10 µW. The obtained results also demonstrate how the performances of the sensor are strongly dependent on both the target and the demodulation technique used to extract the displacement information. This allowed for defining some practical guidelines that can help the design of effective solutions considering application-specific constraints.

scholarly journals Towards an ultra-low-power low-cost wireless visual sensor node for fine-grain detection of forest fires

2014 ◽  
pp. 1571-1581
Author(s):  
J. Fernández-Berni ◽  
R. Carmona-Galán ◽  
Juan A. Leñero-Bardallo ◽  
R. Kleihorst ◽  
Á. Rodríguez-Vázquez
Keyword(s):  
Low Power ◽  
Forest Fires ◽  
Sensor Node ◽  
Low Cost ◽  
Visual Sensor ◽  
Ultra Low Power ◽  
Fine Grain
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