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Molecular Sensing, Communications and Processing
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Molecular Sensing, Communications and Processing

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

Deadline for manuscript submissions: closed (10 May 2023) | Viewed by 3813

Special Issue Editor

Prof. Dr. Gianluca Reali

E-Mail Website
Guest Editor
Networks and Services Lab, Department of Engineering, University of Perugia, 06123 Perugia, Italy
Interests: networking; IoT; molecular communications; orchestration of virtual networks; cloud computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

ICT technologies that operate at microscopic scales have recently had a strong boost in the biological field. Research activities are aimed at collecting data representing the state of biological systems, codifying it adequately, and using the information of interest to modulate molecular signals. The systems under study can either be inspired by biological processes in living bodies, such as molecular pathways in cells and information transport through blood vessels, or be synthetic. All together, they are contributing to the birth of the Internet of bio-nano things (IoBNT) concept. This Special Issue intends to collect contributions in the following areas:

  • Data collection through biosensors and ingestion in molecular communication systems;
  • Sensing and data processing using omics technologies;
  • Data storage in bio-compatible environments;
  • Molecular transmission systems and interworking;
  • Applications of molecular communications.

Prof. Dr. Gianluca Reali
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

  • biosensors
  • molecular communications
  • omics
  • IoBNT
  • applications

Published Papers (2 papers)

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Research

15 pages, 3355 KiB  
Article
A Photolysis-Assist Molecular Communication for Tumor Biosensing
by Yue Sun, Huafeng Bian and Yifan Chen
Sensors 2022, 22(7), 2495; https://0-doi-org.brum.beds.ac.uk/10.3390/s22072495 - 24 Mar 2022
Cited by 3 | Viewed by 1721
Abstract
Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit [...] Read more.
Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from biocompatible MC, biosensors could transmit biosensing signals of the tumor in vivo instead of converting them to electrical signals. Due to diffusion motion’s slow and stochastic nature, intersymbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on–off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis reaction. In this paper, we implement the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in biosensing. Full article
(This article belongs to the Special Issue Molecular Sensing, Communications and Processing)
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14 pages, 1285 KiB  
Article
A Simple Queuing Model for Molecular Communications Receivers
by Mauro Femminella and Gianluca Reali
Sensors 2021, 21(22), 7664; https://0-doi-org.brum.beds.ac.uk/10.3390/s21227664 - 18 Nov 2021
Cited by 1 | Viewed by 1600
Abstract
The complexity of molecular communications system, involving a massive number of interacting entities, makes scalability a fundamental property of simulators and modeling tools. A typical scenario is that of targeted drug delivery systems, which makes use of biological nanomachines close to a biological [...] Read more.
The complexity of molecular communications system, involving a massive number of interacting entities, makes scalability a fundamental property of simulators and modeling tools. A typical scenario is that of targeted drug delivery systems, which makes use of biological nanomachines close to a biological target, able to release molecules in the diseased area. In this paper, we propose a simple but reliable receiver model for diffusion-based molecular communication systems tackling the time needed for analyzing such a system. The proposed model consists of using an equivalent markovian queuing model, which reproduces the aggregate behavior of thousands of receptors spread over the receiver surface. It takes into account not only the fact that the absorption of molecules can occur only through receptors, but also that absorption is not an instantaneous process and may require a significant time during which the receptor is not available to bind to other molecules. Our results, expressed in terms of number of absorbed molecules and average number of busy receptors, demonstrate that the proposed approach is in good agreement with results obtained through particle-based simulations of a large number of receptors, although the time taken for obtaining the results with the proposed model is an order of magnitudes lower than the simulation time. We believe that this model can be the precursor of novel class of models based on similar principles that allow realizing reliable simulations of much larger systems. Full article
(This article belongs to the Special Issue Molecular Sensing, Communications and Processing)
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