Asymmetrical inter-symbol interference in macro-scale molecular communications

Molecular communication (MC) is new method of information transmission whereby information is carried by chemical signals instead of electromagnetic (EM) waves. This shift to a new type of information carrier makes MC a viable option in circumstances where EM communication might prove inefficient, e.g., in underwater and underground communications or for in-body and biological applications. To date, almost all MC systems that have been proposed have focused on nano- and micro-scale communications, however recent research has sought to implement MC at macro-scales. A major problem of MC is the inter-symbol interference (ISI) caused by residual chemicals leftover from a previous transmission which can cause incorrect decoding of the signal. This paper reports an experimental study conducted on transmitting MC at the macro-scale. A mass spectrometer (MS) was used as the detector and an algorithm was designed to help mitigate the memory effect of the channel. It is shown that by using the algorithm, communication in the macro-scale is made more practical and feasible.

[1]  H. Melville,et al.  The Writings of Herman Melville: The Northwestern-Newberry Edition, Vol. 6: Moby-Dick: or The Whale: or The Whale , 1988 .

[2]  Chan-Byoung Chae,et al.  Novel Modulation Techniques using Isomers as Messenger Molecules for Nano Communication Networks via Diffusion , 2012, IEEE Journal on Selected Areas in Communications.

[3]  Massimiliano Pierobon,et al.  A physical end-to-end model for molecular communication in nanonetworks , 2010, IEEE Journal on Selected Areas in Communications.

[4]  Tadashi Nakano,et al.  Molecular Communication: Introduction , 2013 .

[5]  Matthew D. Higgins,et al.  Error correction coding for molecular communications , 2012, 2012 IEEE International Conference on Communications (ICC).

[6]  Kwang-Cheng Chen,et al.  A new frontier of wireless communication theory: diffusion-based molecular communications , 2012, IEEE Wireless Communications.

[7]  Matthew D. Higgins,et al.  Forward error correction for molecular communications , 2012, Nano Commun. Networks.

[8]  Özgür B. Akan,et al.  An information theoretical approach for molecular communication , 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.

[9]  Ian F. Akyildiz,et al.  Molecular communication options for long range nanonetworks , 2009, Comput. Networks.

[10]  V. S. Vaidhyanathan,et al.  Transport phenomena , 2005, Experientia.

[11]  H. T. Mouftah,et al.  Characterization of intersymbol interference in concentration-encoded unicast molecular communication , 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

[12]  Tadashi Nakano,et al.  Channel Model and Capacity Analysis of Molecular Communication with Brownian Motion , 2012, IEEE Communications Letters.

[13]  Tuna Tugcu,et al.  ISI Mitigation Techniques in Molecular Communication , 2014, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[14]  M. Gribaudo,et al.  2002 , 2001, Cell and Tissue Research.

[15]  A. Bejan Convection Heat Transfer: Bejan/Convection Heat Transfer 4e , 2013 .

[16]  Andrew W. Eckford,et al.  Tabletop Molecular Communication: Text Messages through Chemical Signals , 2013, PloS one.

[17]  Stamatios Giannoukos,et al.  Molecular Communication over Gas Stream Channels using Portable Mass Spectrometry , 2017, Journal of The American Society for Mass Spectrometry.

[18]  K. N. Seetharamu,et al.  Convection Heat Transfer , 2005 .

[19]  Qiang Liu,et al.  Channel capacity analysis for molecular communication with continuous molecule emission , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[20]  Donald E. Pease 14. Herman Melville, Moby-Dick; or, The Whale (1851) , 2018 .

[21]  M Statheropoulos,et al.  Dynamic vapor generator that simulates transient odor emissions of victims entrapped in the voids of collapsed buildings. , 2014, Analytical chemistry.

[22]  Mark D. McDonnell,et al.  Performance of macro-scale molecular communications with sensor cleanse time , 2014, 2014 21st International Conference on Telecommunications (ICT).

[23]  S. M. García,et al.  2014: , 2020, A Party for Lazarus.

[24]  Ian F. Akyildiz,et al.  Modulation Techniques for Communication via Diffusion in Nanonetworks , 2011, 2011 IEEE International Conference on Communications (ICC).

[25]  Özgür B. Akan,et al.  On Channel Capacity and Error Compensation in Molecular Communication , 2008, Trans. Comp. Sys. Biology.