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Systems and Software for Low Power Embedded Sensing

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

Deadline for manuscript submissions: closed (31 March 2017) | Viewed by 40377

Special Issue Editors


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Guest Editor
Department of Electronic Informatic Technology and Electric Engineering (ITIT), ETH Zürich, 8092 Zürich, Switzerland
Interests: low power embedded systems; sensors systems; wireless sensor networks; energy harvesting; low power machine learning; microcontrollers; energy efficiency
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Network Engineering, Universitat Politecnica de Catalunya, c/ Jordi Girona 1-3, Modul C3 Barcelona, 08034 Catalunya, Spain
Interests: Internet of Things; wireless mesh; ad hoc and sensor networks; wake-up radio systems; 5G; LTE; network algorithms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 7th EAI conference on Sensor Systems and Software is, broadly defined, a single track forum for research on system development and software support for embedded sensing. This year the conference will be organized in co-location with eSame conference in Nice, France. Conference papers with an extension of at least 50% of content can be submitted to the Special Issue “Systems and Software for Low Power Embedded Sensing.

This Special Issue emphasizes the challenges, issues, and opportunities in the research, design, and engineering of low power sensing devices, focusing on techniques, strategies, and algorithms applied to real examples of IoT applications, with special emphasis on wearable and mobile applications. The Special Issue welcomes original and not previously-published submissions concerning deployments and in-field tests and the measurement of low-power devices.

Further, we are looking for contributions in the area of IoT devices, sensors, sensing systems and applications, which exploit hardware and software methods and algorithms. The aim of this Special Issue is to attract both researchers and practitioners from academia and the industry, on the following topics of interest:

  • Experience of real-world low-power IoT applications and deployments
  • Power management algorithms for energy harvesting sensing systems
  • Civil infrastructure monitoring and control (buildings, bridges, tunnels, roads, etc.)
  • Environmental monitoring and control
  • Experiences of real-world sensing applications and deployments
  • Innovative mobile and mobile sensing applications
  • New hardware and sensing platforms
  • Reprogrammable and reconfigurable sensing systems especially smart cameras
  • Machine learning for sensors data, video processing and context recognition
  • Semantic technologies for interoperability and context awareness
  • Sensor data processing, storage and management
  • Smart-Cities/Smart-X applications involving sensing and control
  • Wearable sensing technologies (smart textile, wearable electronics)
  • Power management algorithms for energy harvesting sensing systems
  • Architecture for energy-neutral sensing systems
  • Resilient energy-neutral sensors
  • Smart-cities/smart-X applications involving sensing and control
  • Ultra-low power communication and wake up radio devices
  • Wearable sensing technologies (smart textile, wearable electronics)

Dr. Michele Magno
Dr. Ilker Demirkol
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 submissions that pass pre-check are 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 semimonthly 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 2600 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 Hardware
  • Internet of Things
  • Low Power Machine Learning
  • Energy Efficient Communication
  • Mobile Applications
  • Wireless Sensor Networks
  • Low Power Sensor
  • Smart Environments
  • Energy Harvesting
  • Power Management
  • Wearable Sensors
  • Flexible Sensors
  • Zero-Power Binary Sensors.

Published Papers (3 papers)

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2270 KiB  
Article
I3Mote: An Open Development Platform for the Intelligent Industrial Internet
by Borja Martinez, Xavier Vilajosana, Il Han Kim, Jianwei Zhou, Pere Tuset-Peiró, Ariton Xhafa, Dominique Poissonnier and Xiaolin Lu
Sensors 2017, 17(5), 986; https://doi.org/10.3390/s17050986 - 28 Apr 2017
Cited by 33 | Viewed by 6521
Abstract
In this article we present the Intelligent Industrial Internet (I3) Mote, an open hardware platform targeting industrial connectivity and sensing deployments. The I3Mote features the most advanced low-power components to tackle sensing, on-board computing and wireless/wired connectivity for demanding industrial applications. The platform [...] Read more.
In this article we present the Intelligent Industrial Internet (I3) Mote, an open hardware platform targeting industrial connectivity and sensing deployments. The I3Mote features the most advanced low-power components to tackle sensing, on-board computing and wireless/wired connectivity for demanding industrial applications. The platform has been designed to fill the gap in the industrial prototyping and early deployment market with a compact form factor, low-cost and robust industrial design. I3Mote is an advanced and compact prototyping system integrating the required components to be deployed as a product, leveraging the need for adopting industries to build their own tailored solution. This article describes the platform design, firmware and software ecosystem and characterizes its performance in terms of energy consumption. Full article
(This article belongs to the Special Issue Systems and Software for Low Power Embedded Sensing)
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7012 KiB  
Article
A Smart Voltage and Current Monitoring System for Three Phase Inverters Using an Android Smartphone Application
by Mohannad Jabbar Mnati, Alex Van den Bossche and Raad Farhood Chisab
Sensors 2017, 17(4), 872; https://doi.org/10.3390/s17040872 - 15 Apr 2017
Cited by 77 | Viewed by 24464
Abstract
In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured [...] Read more.
In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured data to monitor the results using a new Android application. The integrated SVCMS design uses an Arduino Nano V3.0 as the microcontroller to measure the results from three voltage and three current sensors and then send this data, after calculation, to the Android smartphone device of an end user using Bluetooth HC-05. The Arduino Nano V3.0 controller and Bluetooth HC-05 are a cheap microcontroller and wireless device, respectively. The new Android smartphone application that monitors the voltage and current measurements uses the open source MIT App Inventor 2 software. It allows for monitoring some elementary fundamental voltage power quality properties. An effort has been made to investigate what is possible using available off-the-shelf components and open source software. Full article
(This article belongs to the Special Issue Systems and Software for Low Power Embedded Sensing)
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8540 KiB  
Article
5 V Compatible Two-Axis PZT Driven MEMS Scanning Mirror with Mechanical Leverage Structure for Miniature LiDAR Application
by Liangchen Ye, Gaofei Zhang and Zheng You
Sensors 2017, 17(3), 521; https://doi.org/10.3390/s17030521 - 5 Mar 2017
Cited by 36 | Viewed by 8511
Abstract
The MEMS (Micro-Electronical Mechanical System) scanning mirror is an optical MEMS device that can scan laser beams across one or two dimensions. MEMS scanning mirrors can be applied in a variety of applications, such as laser display, bio-medical imaging and Light Detection and [...] Read more.
The MEMS (Micro-Electronical Mechanical System) scanning mirror is an optical MEMS device that can scan laser beams across one or two dimensions. MEMS scanning mirrors can be applied in a variety of applications, such as laser display, bio-medical imaging and Light Detection and Ranging (LiDAR). These commercial applications have recently created a great demand for low-driving-voltage and low-power MEMS mirrors. However, no reported two-axis MEMS scanning mirror is available for usage in a universal supplying voltage such as 5 V. In this paper, we present an ultra-low voltage driven two-axis MEMS scanning mirror which is 5 V compatible. In order to realize low voltage and low power, a two-axis MEMS scanning mirror with mechanical leverage driven by PZT (Lead zirconate titanate) ceramic is designed, modeled, fabricated and characterized. To further decrease the power of the MEMS scanning mirror, a new method of impedance matching for PZT ceramic driven by a two-frequency mixed signal is established. As experimental results show, this MEMS scanning mirror reaches a two-axis scanning angle of 41.9° × 40.3° at a total driving voltage of 4.2 Vpp and total power of 16 mW. The effective diameter of reflection of the mirror is 2 mm and the operating frequencies of two-axis scanning are 947.51 Hz and 1464.66 Hz, respectively. Full article
(This article belongs to the Special Issue Systems and Software for Low Power Embedded Sensing)
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