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Autonomous Low Power Monitoring Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 3138

Special Issue Editors


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Guest Editor
School of Engineering and Computing, University of Central Lancashire, Preston PR1 2HE, UK
Interests: mobile robots; multi-agent systems; Internet; artificial intelligence; remotely operated vehicles; road safety; road vehicles; traffic engineering computing; Internet of Things; automobiles; autonomous aerial vehicles
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Biomedical Engineering, TOBB University of Economics and Technology, Ankara, Turkey
Interests: Signal processing; medical technologies; medical sensors

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Guest Editor
Institut de Physique du Globe de Paris, Université de Paris, Paris, France
Interests: physics; instrumentation; environment in-situ sensors; LoRaWAN

Special Issue Information

Dear Colleagues,

Geo-distributed autonomous low-power sensing nodes – e.g., wireless sensor networks (WSN) and Internet of Things (IoT) networks - are harbouring more autonomous capabilities in the concepts of Internet of Everything (IoE) and Automation of Everything (AoE) [1] to serve more intelligent multiple larger synergistic cyber-physical systems (CPS) that perform more complex autonomous tasks by removing the human out of the loop [2]. They can be useful for scientific works, such as to build reliable climate models, by providing continuous series of some in-situ environment variables over years at high frequency (e.g. soil moisture in a catchment at 1 point/10 min). Due to spatial heterogeneity variables have to be retrieved at different points, which requires a network of such sensors over large area (> 1 km2 every 100 m)

However, the capabilities of sensor nodes within these domains and others are still highly limited concerning energy, storage, processing, sensing coverage, measurement quality, robustness,  communication with risk of loss of data (e.g., network connectivity, low data rate in low-powered wide-area network (LPWAN)), latency, costs and cybersecurity [5]. These limitations, or contradictory requirements, need to be mitigated, partly or not depending on the sensor purpose. Moreover, energy-efficient deployment and data routing of low-power sensor nodes to lessen their energy consumption is of prime importance for prolonging their own network lifetime. With these in mind, this Special Issue covers topics related to autonomous resource-constraint sensor nodes, particularly, focuses on research attempts to improve their capabilities with increasing autonomous abilities leading to efficient adaption to their environment and meeting the different requirements.

We would like to invite the academic and industrial research community to submit original research as well as review articles to this Special Issue. Topics of interest include:

Main Topics:

-low cost sensor

 – quality measurement

– rugged autonomous sensor

- Autonomous resource-constraint sensor nodes

- Design and development of autonomous low-power sensors

- Energy-efficient deployment and data routing of low-power sensor nodes

- WSN communication topology

- Intelligent energy harvesting (EH) in autonomous low power monitoring sensors

- Self-prognosis, self-diagnosis and self-healing autonomous monitoring sensors

- Sensor networks

- Lifespan of a sensor network

- Multi low-power sensor integration

- End-to-end wireless communication of autonomous monitoring sensors

- Mobile data collection sinks in sensor networks

- Cybersecurity in sensors

- Miniaturized sensors

- Autonomous health monitoring (i.e., fault diagnosis) of remotely performing critical devices (e.g., power outage avoidance systems, condition monitoring of wind turbines or railways)

- Medical and biomedical sensing with low-power sensors

- Implementation of wireless sensors in urban environment, industry, agriculture, remote  observatory

- Implementation of low-power sensors in the cloud and edge computing

- Indoor implementation of wireless sensors (e.g, security, fire monitoring, energy efficiency of buildings and structures)

- Disaster management using low-power sensors (flood, earthquake, tsunami)

- Computational intelligence in sensors

- Big data management in geo-distributed sensors

- Intelligent vision-based low-power sensors

Dr. Kaya Kuru
Prof. Dr. Osman Erogul
Dr. Xavier Chavanne
Guest Editors

Manuscript Submission Information

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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 sensors 
  • Sensor networks
  • Lifetime of sensor network 
  • Sensors signal processing 
  • Sensor fusion 
  • Environmental monitoring
  • Wireless power transfer (WPT)
  • Cyber-Physical Systems (CPS) 
  • Wireless Sensor Networks (WSN) 
  • Internet of Things (IoT) 
  • Smart City (SC) 
  • Hotspots 
  • Energy-hole problem 
  • Buffer overflow 
  • Mobile sinks 
  • Multi-hop communication 
  • low-powered wide-area network (LPWAN) 
  • Simultaneous Wireless Information and Power Transfer (SWIPT)
  • Wearable sensors 
  • Bio-inspired sensors 
  • Biomedical sensors 
  • Electrochemical sensors

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Published Papers (1 paper)

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Research

22 pages, 7927 KiB  
Article
Addressing Power Issues in Biologging: An Audio/Inertial Recorder Case Study
by Jonathan Miquel, Laurent Latorre and Simon Chamaillé-Jammes
Sensors 2022, 22(21), 8196; https://doi.org/10.3390/s22218196 - 26 Oct 2022
Cited by 4 | Viewed by 2220
Abstract
In the past decades, biologging, i.e., the development and deployment of animal-borne loggers, has revolutionized ecology. Despite recent advances, power consumption and battery size however remain central issues and limiting factors, constraining the quantity of data that can be collected and the size [...] Read more.
In the past decades, biologging, i.e., the development and deployment of animal-borne loggers, has revolutionized ecology. Despite recent advances, power consumption and battery size however remain central issues and limiting factors, constraining the quantity of data that can be collected and the size of the animals that can be studied. Here, we present strategies to achieve ultra-low power in biologging, using the design of a lightweight audio-inertial logger as an example. It is designed with low-power MEMS sensors, and a firmware based on a small embedded RTOS. Both methodologies for power reduction and experimental results are detailed. With an average power consumption reduced to 5.3 mW, combined with a battery of 1800 mAh, the logger provides 900 h of continuous 8 kHz audio, 50 Hz accelerometer and 10 Hz magnetometer data. Full article
(This article belongs to the Special Issue Autonomous Low Power Monitoring Sensors)
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