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Lighting Up Wireless Communication, Sensing and Power Delivery

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

Deadline for manuscript submissions: closed (7 June 2024) | Viewed by 621

Special Issue Editor


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Guest Editor
Department of Computer Science, Columbia University, New York, NY 10027, USA
Interests: light communication; light sensing

Special Issue Information

Dear Colleagues,

Light, as a ubiquitous medium around us, serves as a fascinating modality for data communication, object tracking, human sensing, and power delivery. Light as a communication medium provides hundreds of terahertz spectrum bands that are unlicensed, holding the potential to expand the limits of the radio spectrum and to enable emerging data-intensive applications (e.g., virtual reality and autonomous driving). Light as a sensing medium achieves a fine-grained sensing resolution thanks to its nanometer-level wavelengths, with broad implications for a plethora of sensing applications ranging from object tracking to human health sensing. Light as a renewable energy source is most appealing due to its ubiquity and high energy density, with the possibility to power up zillions of power-constrained devices and sensors.

This Special Issue aims to bring together original research and review articles on recent advances, technologies/solutions, applications, open challenges, and research opportunities in the field of light communication, sensing, and power delivery.

Potential topics include but are not limited to:

  • Novel light communication schemes and systems;
  • Networking of light communication links;
  • Coexistence and fusion of light communication and sensing with other modalities;
  • Light communication with image sensors;
  • Light-based localization;
  • Human sensing using light;
  • Underwater or air–water communication and sensing with light;
  • Aerial networking and sensing with light;
  • Vehicular networking and sensing with light;
  • Laser light communication and sensing;
  • Experimental platforms for light communication and sensing;
  • HCI applications of light communication and sensing;
  • Robotic applications of light communication and sensing;
  • Security and privacy aspects of light communication and sensing;
  • Energy harvesting and power delivery with light;
  • Communication and sensing with unconventional optical bands (e.g., UV light and thermal infrared).

Dr. Xia Zhou
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 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

  • light communication
  • light sensing
  • power delivery with light
  • laser communication

Published Papers (1 paper)

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Research

14 pages, 3111 KiB  
Article
Cost-Effective Optical Wireless Sensor Networks: Enhancing Detection of Sub-Pixel Transmitters in Camera-Based Communications
by Idaira Rodríguez-Yánez, Víctor Guerra, José Rabadán and Rafael Pérez-Jiménez
Sensors 2024, 24(10), 3249; https://doi.org/10.3390/s24103249 - 20 May 2024
Viewed by 412
Abstract
In the domain of the Internet of Things (IoT), Optical Camera Communication (OCC) has garnered significant attention. This wireless technology employs solid-state lamps as transmitters and image sensors as receivers, offering a promising avenue for reducing energy costs and simplifying electronics. Moreover, image [...] Read more.
In the domain of the Internet of Things (IoT), Optical Camera Communication (OCC) has garnered significant attention. This wireless technology employs solid-state lamps as transmitters and image sensors as receivers, offering a promising avenue for reducing energy costs and simplifying electronics. Moreover, image sensors are prevalent in various applications today, enabling dual functionality: recording and communication. However, a challenge arises when optical transmitters are not in close proximity to the camera, leading to sub-pixel projections on the image sensor and introducing strong channel dependence. Previous approaches, such as modifying camera optics or adjusting image sensor parameters, not only limited the camera’s utility for purposes beyond communication but also made it challenging to accommodate multiple transmitters. In this paper, a novel sub-pixel optical transmitter discovery algorithm that overcomes these limitations is presented. This algorithm enables the use of OCC in scenarios with static transmitters and receivers without the need for camera modifications. This allows increasing the number of transmitters in a given scenario and alleviates the proximity and size limitations of the transmitters. Implemented in Python with multiprocessing programming schemes for efficiency, the algorithm achieved a 100% detection rate in nighttime scenarios, while there was a 89% detection rate indoors and a 72% rate outdoors during daylight. Detection rates were strongly influenced by varying transmitter types and lighting conditions. False positives remained minimal, and processing times were consistently under 1 s. With these results, the algorithm is considered suitable for export as a web service or as an intermediary component for data conversion into other network technologies. Full article
(This article belongs to the Special Issue Lighting Up Wireless Communication, Sensing and Power Delivery)
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