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Special Issue "Battery-Free IoT Devices and Networks"

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

Deadline for manuscript submissions: closed (20 August 2020).

Special Issue Editor

Prof. Dr. Jeroen Famaey
Website
Guest Editor
Internet and Data Lab (IDLab), University of Antwerp – imec, Antwerp, 2000, Belgium
Interests: wireless sensor networks; battery-less communications; energy harvesting; low-power wide area networks

Special Issue Information

Dear Colleagues,

 

Since their inception, batteries have been one of the main drivers of the Internet of Things (IoT). Today, billions of battery-powered devices are connected to the Internet. However, it is becoming clear that batteries are incompatible with a sustainable IoT because they are short-lived, expensive, bulky, and contain harmful chemicals. To address the IoT’s battery problem, researchers have recently started investigating battery-free IoT devices and networks.

Battery-free devices rely on small but long-lived capacitors for energy storage, in combination with various forms of energy harvesting. The combination of small energy storage capacities and stochastic energy harvesting behaviour causes battery-free devices to intermittently turn on and off due to frequent power failures. Such intermittency challenges the fundamental assumption that devices can operate uninterrupted to perform their tasks, and requires rethinking computing, communications and networking paradigms.

This Special Issue solicits high-quality unpublished work on recent advanced in battery-free IoT devices, computing, communications and networking. The main topics of interest include, but are not limited to, the following:

  • Power management concepts, algorithms and circuits for energy-harvesting on battery-free devices
  • Novel (hybrid) energy harvesting circuits, architectures and concepts for battery-free devices
  • Synchronization techniques for intermittently powered devices
  • Communications and networking protocols (e.g., channel access, routing) for battery-free devices
  • Online measurement and prediction of device energy lifecycles
  • Hardware and software concepts, algorithms and circuits for intermittent computing
  • Scheduling algorithms and operating system support for intermittent computing models
  • Architectures and standards for the Internet of Battery-Free Things
  • Performance modelling and evaluation of battery-free devices and networks
  • Battery-free device and network prototypes, real-world deployments, and performance evaluations

Prof. Dr. Jeroen Famaey
Guest Editor

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 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 2000 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

  • Internet of Battery-Free Things
  • battery-free sensor networks
  • energy harvesting
  • intermittent computing and communications

Published Papers (2 papers)

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Research

Open AccessArticle
Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power Transfer
Sensors 2020, 20(11), 3020; https://doi.org/10.3390/s20113020 - 26 May 2020
Cited by 1
Abstract
Asset tracking involving accurate location and transportation data is highly suited to wireless sensor networks (WSNs) featuring battery-less nodes that can be deployed in virtually any environment and require little or no maintenance. In response to the growing demand for advanced battery-less sensor [...] Read more.
Asset tracking involving accurate location and transportation data is highly suited to wireless sensor networks (WSNs) featuring battery-less nodes that can be deployed in virtually any environment and require little or no maintenance. In response to the growing demand for advanced battery-less sensor tag solutions, this article presents a system for identifying and monitoring the speeds of assets in a WSN with battery-less tags that receive all their operating energy through radio frequency (RF) wireless power transfer (WPT) architecture, and a unique measurement approach to generate time-domain speed readouts. The assessment includes performance characteristics and key features of a system on chip (SoC) purposely designed to power a node through RF WPT. The result is an innovative solution for RF to DC conversion able to address the principal difficulties associated with maximum power conversion efficiency (PCE) with sensitivity and vice versa, a strategy, and a design optimization model to indicate the number of readers required for reliable asset identification and speed measurement. Model validation is performed through specific tests. Experimental results demonstrating the viability of the proposed advanced monitoring system are provided. Full article
(This article belongs to the Special Issue Battery-Free IoT Devices and Networks)
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Open AccessArticle
Performance Analysis for SWIPT Cooperative DF Communication Systems with Hybrid Receiver and Non-Linear Energy Harvesting Model
Sensors 2020, 20(9), 2472; https://doi.org/10.3390/s20092472 - 27 Apr 2020
Cited by 1
Abstract
In this paper, we study the outage and throughput performance for the simultaneous wireless information and power transfer (SWIPT) cooperative decode-and-forward (DF) communication systems. The hybrid receiver that uses both time switching (TS) and power splitting (PS) methods for energy harvesting (EH) and [...] Read more.
In this paper, we study the outage and throughput performance for the simultaneous wireless information and power transfer (SWIPT) cooperative decode-and-forward (DF) communication systems. The hybrid receiver that uses both time switching (TS) and power splitting (PS) methods for energy harvesting (EH) and information decoding (ID), and the piece-wise linear EH model that captures the non-linear input-output characteristic of the EH circuit, are considered. We present exact analytical expressions of the outage probability (OP) and throughput, which are expressed as single definite integral on finite interval and can be easily evaluated, for the systems in Rayleigh fading channel. For further simplicity of calculation, we derive novel and closed-form approximate expressions of the OP and throughput. The impact of different system parameters on the system performance is investigated. Numerical results show the high accuracy of the proposed closed-form approximate expressions especially in the region of higher signal-to-noise ratio (SNR). It is also shown that the system performance is greatly overestimated when the ideal linear EH model is used instead of the practical non-linear EH model. A different result to the non-hybrid receiver with both linear EH model and non-linear EH model that there exists an optimal location to minimize the OP for the hybrid receiving relay node with non-linear EH model is also demonstrated. Full article
(This article belongs to the Special Issue Battery-Free IoT Devices and Networks)
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