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Intelligent Energy Autonomous Wireless Sensors

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

Deadline for manuscript submissions: closed (10 February 2024) | Viewed by 2756

Special Issue Editors

STMicroelectronics, Stradale Primosole 50, 95121 Catania, Italy
Interests: energy; electronics; microelectronics; IC design; (IoT) Internet of Things; energy harvesting; wireless power transfer
Ecole Polytechnique Federale de Lausanne, RFIC Group, 1015 Lausanne, Switzerland
Interests: electronics; microelectronics; wireless communication; biomedical applications; electrical filters
Department of Engineering, University of Palermo, Viale delle Scienze Ed.9, 90128 Palermo, Italy
Interests: microwave and millimeter-wave; TWT; Klystron; MPM; microwave solid state high power amplifier; low-noise amplifier; antennas; nanoantennas
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Special Issue Information

Dear Colleagues,

This Special Issue has a background in the market for Internet of Things (IoT) devices and wireless sensor networks. The Market Forecast predicts the connection of a trillion “things” by 2025. The global smart sensor market size trend will grow from USD 36.6 billion in 2020 to USD 87.6 billion by 2025, at a CAGR of 19.0%. The energy harvesting systems market was worth USD 440.39 million in 2019, with a forecast to reach USD 817.2 million by 2025, at a CAGR of 10.91%, over the forecast period from 2020 to 2025. In this scenario, powering a trillion-node IoT infrastructure would require trillions of batteries which poses maintenance problems and related non-negligible management costs. Indeed, for every trillion nodes installed, 274 million batteries would need to be replaced every day, even in the best-case scenario where it is possible to assume that batteries reach their 10-year life expectancy. In this context, this Special Issue aims to call researchers to publish innovative systems, strategies, techniques, applications, and circuits for powering low-maintenance, energy-autonomous, and battery-free devices. The principal intention is to supply a research contribution of a Wireless Sensor Node (WSN) that is sustainable and needs minimal or no maintenance.

Dr. Roberto La Rosa
Prof. Dr. Catherine Dehollain
Prof. Dr. Patrizia Livreri
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

  • CMOS integrated circuits
  • maximum power point tracking
  • wireless power transfer
  • energy harvesting
  • wireless battery charger
  • wireless sensor node
  • wireless sensor networks
  • Internet of Things (IoT)
  • battery-free sensors
  • light sensors
  • vibrational sensors

Published Papers (2 papers)

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Research

20 pages, 1156 KiB  
Article
Adaptive Algorithms for Batteryless LoRa-Based Sensors
by Fabrizio Giuliano, Antonino Pagano, Daniele Croce, Gianpaolo Vitale and Ilenia Tinnirello
Sensors 2023, 23(14), 6568; https://doi.org/10.3390/s23146568 - 21 Jul 2023
Cited by 3 | Viewed by 1240
Abstract
Ambient energy-powered sensors are becoming increasingly crucial for the sustainability of the Internet-of-Things (IoT). In particular, batteryless sensors are a cost-effective solution that require no battery maintenance, last longer and have greater weatherproofing properties due to the lack of a battery access panel. [...] Read more.
Ambient energy-powered sensors are becoming increasingly crucial for the sustainability of the Internet-of-Things (IoT). In particular, batteryless sensors are a cost-effective solution that require no battery maintenance, last longer and have greater weatherproofing properties due to the lack of a battery access panel. In this work, we study adaptive transmission algorithms to improve the performance of batteryless IoT sensors based on the LoRa protocol. First, we characterize the device power consumption during sensor measurement and/or transmission events. Then, we consider different scenarios and dynamically tune the most critical network parameters, such as inter-packet transmission time, data redundancy and packet size, to optimize the operation of the device. We design appropriate capacity-based storage, considering a renewable energy source (e.g., photovoltaic panel), and we analyze the probability of energy failures by exploiting both theoretical models and real energy traces. The results can be used as feedback to re-design the device to have an appropriate amount energy storage and meet certain reliability constraints. Finally, a cost analysis is also provided for the energy characteristics of our system, taking into account the dimensioning of both the capacitor and solar panel. Full article
(This article belongs to the Special Issue Intelligent Energy Autonomous Wireless Sensors)
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15 pages, 4459 KiB  
Article
Monitoring the Air Quality in an HVAC System via an Energy Harvesting Device
by Corrado Boragno, Orazio Aiello and Daniele D. Caviglia
Sensors 2023, 23(14), 6381; https://doi.org/10.3390/s23146381 - 13 Jul 2023
Viewed by 992
Abstract
The energy consumption of a heating, ventilation, and air conditioning (HVAC) system represents a large amount of the total for a commercial or civic building. In order to optimize the system performance and to increase the comfort of people living or working in [...] Read more.
The energy consumption of a heating, ventilation, and air conditioning (HVAC) system represents a large amount of the total for a commercial or civic building. In order to optimize the system performance and to increase the comfort of people living or working in a building, it is necessary to monitor the relevant parameters of the circulating air flux. To this end, an array of sensors (i.e., temperature, humidity, and CO2 percentage sensors) is usually deployed along the aeraulic ducts and/or in various rooms. Generally, these sensors are powered by wires or batteries, but both methods have some drawbacks. In this paper, a possible solution to these drawbacks is proposed. It presents a wireless sensor node powered by an Energy Harvesting (EH) device acted on by the air flux itself. The collected data are transmitted to a central unit via a LoRa radio channel. The EH device can be placed in air ducts or close to air outlets. Full article
(This article belongs to the Special Issue Intelligent Energy Autonomous Wireless Sensors)
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