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Special Issue "Low Power Embedded Sensing: Hardware-Software Design and Applications"

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: 31 December 2017

Special Issue Editors

Guest Editor
Dr. Michele Magno

Department of Electronic Informatic Technology and Electric Engineering (ITIT), ETH Zurich, ETZ Gloriastrasse, 25, Zurich, Switzerland
Website | E-Mail
Interests: sensor device and network; energy harvesting; low power sensing and applications; smart devices, wearable devices, low power hardware and software co-design
Guest Editor
Prof. Dr. Vedran Bilas

Department of Electronic Systems and Information Professing, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Website | E-Mail
Interests: low power electronic systems; sensor interfaces and signal processing; computational sensing; networked embedded sensors; sensing applications

Special Issue Information

Dear Colleagues,

The 8th EAI Conference on Sensor Systems and Software is a single-track forum for research on system development and software support for embedded sensing, broadly defined. This year, the conference will be organized in co-location with SoftCom, in Split, Croatia. Full Conference papers with an extension of at least 50% of content can be submitted to the Special Issue.

This Special Issue emphasizes the challenges, issues, and opportunities in the research, design, and engineering of sensing devices, focusing on techniques, strategies, and algorithms applied to real life applications. More in detail, the Special Issues is focused on contributions in the area of low power and energy efficient devices and systems that employ sensors to achieve smart applications. The aim of this Special Issue is to attract researchers and practitioners from academia and industry, on the following topics of interest:

·         New hardware and sensing platforms
·         Architectures for energy-neutral sensing systems
·         Power management algorithms for energy harvesting sensing systems
·         Sensor data processing, storage and management
·         Energy efficient deep learning for smart camera
·         Wake up radio and energy efficient communication
·         Wearable sensing technologies (smart textile, wearable electronics)
·         Zero-power sensing for long term monitoring
·         Experiences of real-world low-power sensing applications and deployments
·         Smart-X applications involving sensing, monitoring and control

Dr. Michele Magno
Prof. Dr. Vedran Bilas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Low Power Sensor Devices
  • Energy Efficient Sensor Interfaces
  • Always on Mixed Signal Sensor Interfaces
  • Low Power Sensor Signal Processing
  • Energy Efficient Deep Learning
  • Zero Power Binary Sensors
  • Zero Power Transponders
  • Energy Harvesting
  • Power Management
  • Compressive Sensing
  • Energy Efficient Communication
  • Smart Environments
  • Smart Devices
  • Wearable Sensors
  • Sensing Applications

Published Papers (3 papers)

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Research

Open AccessArticle Anti-Sweep Jamming Design and Implementation Using Multi-Channel Harmonic Timing Sequence Detection for Short-Range FMCW Proximity Sensors
Sensors 2017, 17(9), 2042; doi:10.3390/s17092042
Received: 21 July 2017 / Revised: 22 August 2017 / Accepted: 5 September 2017 / Published: 6 September 2017
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Abstract
Currently, frequency-modulated continuous-wave (FMCW) proximity sensors are widely used. However, they suffer from a serious sweep jamming problem, which significantly reduces the ranging performance. To improve its anti-jamming capability, this paper analyzed the response mechanism of a proximity sensor with the existence of
[...] Read more.
Currently, frequency-modulated continuous-wave (FMCW) proximity sensors are widely used. However, they suffer from a serious sweep jamming problem, which significantly reduces the ranging performance. To improve its anti-jamming capability, this paper analyzed the response mechanism of a proximity sensor with the existence of real target echo signals and sweep jamming, respectively. Then, a multi-channel harmonic timing sequence detection method, using the spectrum components’ distribution difference between the real echo signals and sweep jamming, is proposed. Moreover, a novel fast Fourier transform (FFT)-based implementation was employed to extract multi-channel harmonic information. Compared with the traditional band-pass filter (BPF) implementation, this novel realization scheme only computes FFT once, in each transmission cycle, which significantly reduced hardware resource consumption and improved the real-time performance of the proximity sensors. The proposed method was implemented and proved to be feasible through the numerical simulations and prototype experiments. The results showed that the proximity sensor utilizing the proposed method had better anti-sweep jamming capability and ranging performance. Full article
(This article belongs to the Special Issue Low Power Embedded Sensing: Hardware-Software Design and Applications)
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Open AccessArticle A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization
Sensors 2017, 17(9), 1951; doi:10.3390/s17091951
Received: 18 July 2017 / Revised: 18 August 2017 / Accepted: 21 August 2017 / Published: 24 August 2017
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Abstract
The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results
[...] Read more.
The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device’s built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction. Full article
(This article belongs to the Special Issue Low Power Embedded Sensing: Hardware-Software Design and Applications)
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Open AccessArticle Novel Concrete Temperature Monitoring Method Based on an Embedded Passive RFID Sensor Tag
Sensors 2017, 17(7), 1463; doi:10.3390/s17071463
Received: 17 April 2017 / Revised: 12 June 2017 / Accepted: 20 June 2017 / Published: 22 June 2017
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Abstract
This paper firstly introduces the importance of temperature control in concrete measurement, then a passive radio frequency identification (RFID) sensor tag embedded for concrete temperature monitoring is presented. In order to reduce the influences of concrete electromagnetic parameters during the drying process, a
[...] Read more.
This paper firstly introduces the importance of temperature control in concrete measurement, then a passive radio frequency identification (RFID) sensor tag embedded for concrete temperature monitoring is presented. In order to reduce the influences of concrete electromagnetic parameters during the drying process, a T-type antenna is proposed to measure the concrete temperature at the required depth. The proposed RFID sensor tag is based on the EPC generation-2 ultra-high frequency (UHF) communication protocol and operates in passive mode. The temperature sensor can convert the sensor signals to corresponding digital signals without an external reference clock due to the adoption of phase-locked loop (PLL)-based architecture. Laboratory experimentation and on-site testing demonstrate that our sensor tag embedded in concrete can provide reliable communication performance in passive mode. The maximum communicating distance between reader and tag is 7 m at the operating frequency of 915 MHz and the tested results show high consistency with the results tested by a thermocouple. Full article
(This article belongs to the Special Issue Low Power Embedded Sensing: Hardware-Software Design and Applications)
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