Elsevier NanoComNet - SI 2017 : Elsevier SI on Mathematical Modeling, Implementations, Applications and Simulators for Molecular Communications
Call For Papers
Scope of the Special Issue:
Recent breakthroughs in bio-nano technology have motivated molecular communication to be a biologically-inspired technique for nano communication networks. Understanding and realizing molecular communication between nanomachines in point-to-point, multiple-access, broadcast, and relay channels will enable their cooperation and coordination in performing complex tasks in health and environmental applications, such as targeted drug delivery, tumor cell detection, monitoring of pollutants, etc.
Even with growing academic research in the field of nano communication networks, challenges still exist to convert theory to practical implementation. This is mainly due to a lack of knowledge of 1) mathematical models of molecular communication systems with various types of biotransceivers and diffusion environments; 2) theory for achieving ultra-reliable and efficient molecular communication systems; and 3) how to build autonomous nanomachines with basic functionality. The aim of this special issue is to publish original and high-quality technical articles on nano communication networks, with a special emphasis on robust molecular communication system design, efficient hardware design of bio-transceivers with information encoding and decoding capability, as well as the theoretical modeling, simulation, and experimental validation of such systems. This special issue will provide a collection of recent research and innovations in nano communication networks as well as their biological applications, and it is envisioned that the newly-developed theory and its practical exploitation will pave the way for the implementation of nano communication networks.
Topics of Interest:
Prospective authors are invited to submit original manuscripts on topics including, but not limited to:
Mathematical modeling of molecular communication channels and characteristics under different environment conditions such as free diffusion, anomalous diffusion, flow-guided diffusion at infinite, bounded, microfluidic, in-vivo, and in-vitro environments.
Mathematical modeling of multiple transmitters and large-scale molecular communication systems.
Transmitter and receiver modeling of molecular communication systems.
Information and coding theory for molecular communication channels with memory.
Hardware/wetware designs of components in molecular communication systems and designs of interfaces between molecular communication systems and other networks.
Application of molecular communication theory and simulations to improve the understanding of biological systems
Practical implementations of molecular communication systems.
Energy models and energy efficiency of molecular communication systems.
Bio-mimicking and machine learning techniques in molecular communication systems.
Cross-layer designs for molecular communication-based systems
Submission Format and Guidelines
All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. A detailed submission guideline is available as “Guide to Authors” at:
All manuscripts and any supplementary material should be submitted through EVISE. The authors must select as “Simulators for Molecular” when they reach the “Article Type” step in the submission process. The EVISE website is located at:
All papers will be peer-reviewed by three independent reviewers. Requests for additional information should be addressed to the guest editors.
Arumugam Nallanathan (King’s College London, UK)
Tadashi Nakano (Osaka University, Japan)
Massimiliano Pierobon (University of Nebraska-Lincoln, USA)
H. Birkan Yilmaz (Yonsei University, Korea)
Yansha Deng (King’s College London, UK)
Adam Noel (University of Ottawa, Canada)
Submission: May 31, 2017.
Notification: July 1, 2017
Revised papers due: August 15, 2017.
Final notification: October 1, 2017.
Publication: First quarter 2018