research-article

An efficient distance measurement approach in diffusion-based molecular communication based on arrival time difference

Authors:

Kaoru SezakiAuthors Info & Claims

NanoCom '17: Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication

Article No.: 8, Pages 1 - 6

https://doi.org/10.1145/3109453.3109461

Published: 27 September 2017 Publication History

Abstract

This paper studies the distance measurement problem in diffusion-based molecular communication (DBMC). In order to design efficient and robust distance measurement method, we firstly model three types of noises may exist at different phases of DBMC. The proposed models include input noise, convection noise, and reception noise. Then, two existing distance measurement methods, based on round trip time (RTT) and signal attenuation (SA), are briefly reviewed. By using two types of message molecules with different diffusion coefficients, a novel method based on signal arrival time difference (ATD) is proposed. The proposed method overcomes synchronization problem and improves efficiency by using only one-way signal. The performances are evaluated and compared through simulation experiments. Results show that to most simulated parameters, SA-based method outperforms over the other two, however, is easily influenced by fluctuation in the input signal. We find out that this problem can be solved by increasing the input signal width. Furthermore, it is also shown that between the two arrival time-based methods, the proposed ATD method, using distinguishable information molecules, can not only increase the distance measurement efficiency but also improve the accuracy performance.

References

[1]

Ian F Akyildiz, Fernando Brunetti, and Cristina Blázquez. 2008. Nanonetworks: A new communication paradigm. Computer Networks 52, 12 (2008), 2260--2279.

Digital Library

[2]

Hamidreza Arjmandi, Amin Gohari, Masoumeh Nasiri Kenari, and Farshid Bateni. 2013. Diffusion-based nanonetworking: A new modulation technique and performance analysis. IEEE Communications Letters 17, 4 (2013), 645--648.

[3]

S. Balasubramaniam and P. Lio'. 2013. Multi-Hop Conjugation Based Bacteria Nanonetworks. IEEE Transactions on NanoBioscience 12, 1 (2013), 47--59.

[4]

Nariman Farsad, Na-Rae Kim, Andrew W Eckford, and Chan-Byoung Chae. 2014. Channel and noise models for nonlinear molecular communication systems. IEEE Journal on Selected Areas in Communications 32, 12 (2014), 2392--2401.

[5]

Luca Felicetti, Mauro Femminella, Gianluca Reali, and Pietro Liò. 2016. Applications of molecular communications to medicine: A survey. Nano Communication Networks 7 (2016), 27--45.

[6]

Mehmet Şükrü Kuran, H Birkan Yilmaz, Tuna Tugcu, and Bilge Özerman. 2010. Energy model for communication via diffusion in nanonetworks. Nano Communication Networks 1, 2 (2010), 86--95.

[7]

Ignacio Llatser, Eduard Alarcón, and Massimiliano Pierobony. 2011. Diffusion-based channel characterization in molecular nanonetworks. In Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on. IEEE, 467--472.

[8]

Michael J Moore, Tadashi Nakano, Akihiro Enomoto, and Tatsuya Suda. 2012. Measuring distance from single spike feedback signals in molecular communication. IEEE Transactions on Signal Processing 60, 7 (2012), 3576--3587.

Digital Library

[9]

Y. Murin, N. Farsad, M. Chowdhury, and A. Goldsmith. 2016. Communication over Diffusion-Based Molecular Timing Channels. In 2016 IEEE Global Communications Conference (GLOBECOM). 1--6.

[10]

Tadashi Nakano, Yutaka Okaie, and Jian-Qin Liu. 2012. Channel model and capacity analysis of molecular communication with Brownian motion. IEEE communications letters 16, 6 (2012), 797--800.

[11]

Tadashi Nakano, Tatsuya Suda, Michael Moore, Ryota Egashira, Akihiro Enomoto, and Kayo Arima. 2005. Molecular communication for nanomachines using intercellular calcium signaling. In Nanotechnology, 2005. 5th IEEE Conference on. IEEE, 478--481.

[12]

Massimiliano Pierobon and Ian F Akyildiz. 2010. A physical end-to-end model for molecular communication in nanonetworks. IEEE Journal on Selected Areas in Communications 28, 4 (2010).

Digital Library

[13]

Massimiliano Pierobon and Ian F Akyildiz. 2011. Diffusion-based noise analysis for molecular communication in nanonetworks. IEEE Transactions on Signal Processing 59, 6 (2011), 2532--2547.

Digital Library

[14]

Massimiliano Pierobon and Ian F Akyildiz. 2013. Capacity of a diffusion-based molecular communication system with channel memory and molecular noise. IEEE Transactions on Information Theory 59, 2 (2013), 942--954.

Digital Library

[15]

KV Srinivas, Andrew W Eckford, and Raviraj S Adve. 2012. Molecular communication in fluid media: The additive inverse gaussian noise channel. IEEE Transactions on Information Theory 58, 7 (2012), 4678--4692.

Digital Library

[16]

Tatsuya Suda, Michael Moore, Tadashi Nakano, Ryota Egashira, Akihiro Enomoto, Satoshi Hiyama, and Yuki Moritani. 2005. Exploratory research on molecular communication between nanomachines. In Genetic and Evolutionary Computation Conference (GECCO), Late Breaking Papers, Vol. 25. 29.

[17]

Yao Sun, Masaki Ito, and Kaoru Sezaki. 2016. Adaptive code width protocol for mitigating intersymbol interference in diffusion-based molecular communication with mobile nodes. In e-Health Networking, Applications and Services (Healthcom), 2016 IEEE 18th International Conference on. IEEE, 1--6.

[18]

Burcu Tepekule, Ali E Pusane, H Birkan Yilmaz, Chan-Byoung Chae, and Tuna Tugcu. 2015. ISI mitigation techniques in molecular communication. IEEE Transactions on Molecular, Biological and Multi-Scale Communications 1, 2 (2015), 202--216.

[19]

H Birkan Yilmaz and Chan-Byoung Chae. 2014. Simulation study of molecular communication systems with an absorbing receiver: Modulation and ISI mitigation techniques. Simulation Modelling Practice and Theory 49 (2014), 136--150.

Cited By

Broghammer FZhang SWiedemann THoeher P(2023)Distance Estimation From a Diffusive Process: Theoretical Limits and Experimental ResultsIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2023.33033639:3(312-317)Online publication date: Sep-2023
https://doi.org/10.1109/TMBMC.2023.3303363
Bulasara PSahoo SNingthoujam SJain A(2023)Molecules Transceived from Bio-Nanomachines through Two-Way Effective Distance2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)10.1109/AISP57993.2023.10135063(1-6)Online publication date: 18-Mar-2023
https://doi.org/10.1109/AISP57993.2023.10135063
Sabu NVarshney NGupta A(2021)On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular CommunicationIEEE Transactions on Communications10.1109/TCOMM.2021.311255769:12(8028-8041)Online publication date: Dec-2021
https://doi.org/10.1109/TCOMM.2021.3112557

Recommendations

Molecular communication on artificial cell membranes
BIONETICS '08: Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems

Molecular communication is a bio-inspired communication paradigm using molecules as information carriers. In this paper, we built an example molecular communication system in aqueous media, which includes propagation of molecular capsules capable of ...
Multiple-access channel capacity of diffusion and ligand-based molecular communication
MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems

Molecular communication is a novel paradigm that uses molecules as an information carrier to enable nanomachines to communicate with each other. The two major components of a diffusion-based molecular communication are diffusion in the medium and the ...
Using spatial partitioning to reduce receiver signal variance in diffusion-based molecular communication
NANOCOM '18: Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication

This paper considers a diffusion-based molecular communication link assuming the receiver uses chemical reactions. When the signalling molecules reach the receiver, they react with the chemicals at the receiver to produce output molecules. We consider ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

NanoCom '17: Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication

September 2017

169 pages

ISBN:9781450349314

DOI:10.1145/3109453

General Chairs:
Alan Davy
Waterford Institute of Technology, Ireland
,
John Federici
New Jersey Institute of Technology

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

NANOCOM '17

NANOCOM '17: ACM The Fourth Annual International Conference on Nanoscale Computing and Communication

September 27 - 29, 2017

D.C., Washington

Acceptance Rates

Overall Acceptance Rate 97 of 135 submissions, 72%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
94
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 10 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Broghammer FZhang SWiedemann THoeher P(2023)Distance Estimation From a Diffusive Process: Theoretical Limits and Experimental ResultsIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2023.33033639:3(312-317)Online publication date: Sep-2023
https://doi.org/10.1109/TMBMC.2023.3303363
Bulasara PSahoo SNingthoujam SJain A(2023)Molecules Transceived from Bio-Nanomachines through Two-Way Effective Distance2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)10.1109/AISP57993.2023.10135063(1-6)Online publication date: 18-Mar-2023
https://doi.org/10.1109/AISP57993.2023.10135063
Sabu NVarshney NGupta A(2021)On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular CommunicationIEEE Transactions on Communications10.1109/TCOMM.2021.311255769:12(8028-8041)Online publication date: Dec-2021
https://doi.org/10.1109/TCOMM.2021.3112557

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents