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Systems and Software for Low Power Embedded Sensing

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 250 words) can be sent to the Editorial Office for assessment.

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.

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Sensors - ISSN 1424-8220