Special Issue "Molecular Communication and Nanonetworks"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: 10 May 2018

Special Issue Editors

Guest Editor
Assist. Prof. Mehmet Şükrü Kuran

Department of Computer Engineering, Abdullah Gul University, Turkey
Website | E-Mail
Interests: molecular communication; information centric networking; wireless networking; smart grid
Guest Editor
Dr. H. Birkan Yilmaz

School of Integrated Technology, Yonsei Institute of Convergence Technology, Yonsei University, Korea
Website | E-Mail
Interests: molecular communication; cognitive radio; wireless comm.; green networking

Special Issue Information

Dear Colleagues,

“There's Plenty of Room at the Bottom”—R. Feynman

With the advent of breakthroughs in nanotechnology and nanomaterials, we now have access to micro/nano nodes that are performing simple tasks in many fields and applications. However, a single node working independently is generally not adequate for high-impact applications of nanotechnology. Instead, these applications necessitate large group of nodes working in concert. Therefore, a demand for communication between micro/nano nodes at small scales become imperative to fully achieve the potential of nanotechnology.

Most of the high-impact applications regarding micro/nano nodes are healthcare applications (such as targeted drug delivery and cancer cell detection/localization) and environmental sensing applications. Most of these applications require nodes and communication systems that can work inside living tissues (i.e., in vivo) and focus on overcoming the hurdles of the communication environment. A prevalent communication approach for these environments is molecular communication, which focuses on solutions inspired by existing communication systems in nature.

Although considerable research has been performed on this topic in the recent years, challenges still exist, both from theoretical and practical aspects. The aim of this Special Issue is to address these challenges and open issues with original and unpublished scientific articles to pave the way for effective implementations and high-impact applications.

Topics of interest in the Special Issue include (but are not limited to):

  • Channel modeling in various environments
  • Mathematical modeling of molecular channel with memory
  • System and architectural designs
  • Transmitter and receiver (e.g., receptor) design
  • Modulation and coding techniques
  • Multiple transmitter and receiver systems
  • Enhancements for interference mitigation
  • Testbed and simulation design
  • Applications for in vivo and in vitro environments
  • Energy models and energy efficiency
  • Machine learning techniques
  • Internet of Nano-things

Assist. Prof. M. Şükrü Kuran
Dr. H. Birkan Yilmaz
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 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. Information is an international peer-reviewed open access monthly 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 850 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.


  • Molecular communication
  • Diffusion
  • Nanonetworking
  • Internet of Nano-things

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Viability analysis of infrared-based nanoscale communications by using fluorescent bacteriochlorophylls
Author: Sebastià Galmés
Affiliation: Department of Mathematics and ComputerScience, University of Balearic Islands, Palma 07122, Spain
Abstract: Molecular communication is currently the most accepted paradigm for implementing the exchange of information between devices at the nanoscale. However, the diffusion of molecules into a fluid medium obeys statistical, non-deterministic rules, as described by Fick’s laws. This means that molecules emitted by a transmitter nanomachine may eventually reach a receiver nanomachine after unpredictable potentially-large time intervals. In other words, the propagation mechanism becomes random and slow on average. In turn, this leads to large uncontrolled delays and reduced transmission capacities. An alternative consists of scaling the use of electromagnetic communications down to the nanometers. This paper explores the viability of this alternative via the use of bacteriochlorophylls, which are characterized by both absorption and emission spectra around the infrared region. So, by initially exciting a mass-critical amount of such bacteria, a communication path can be established between devices containing these organisms, possibly including intermediate relays. Path-loss and interfering noise are evaluated in order to predict the performance of this a priori promising mechanism.

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