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Concentration-Encoded Molecular Communication in Nanonetworks. Part 2: Performance Evaluation

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Modeling, Methodologies and Tools for Molecular and Nano-scale Communications

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 9))

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Abstract

As discussed in the previous chapter, concentration-encoded molecular communication (CEMC) is an information encoding approach to molecular communication (MC) where a transmitting nanomachine (TN) encodes information by varying the transmission rate of molecules, and correspondingly, a receiving nanomachine (RN) decodes the transmitted information by observing the concentration of information molecules available at the RN. While the previous chapter basically dealt with the fundamentals, issues, and challenges of CEMC system, the main objective of this chapter is to particularly focus on performance evaluation of CEMC system in detail. Understanding a single CEMC link completely and accurately is of utmost importance in order to fully understand CEMC-based molecular nanonetworks in the emerging biological information and communication technology (bio-ICT) paradigm. Hence this chapter focuses on the performance evaluation of a single-link CEMC system between a pair of nanomachines.

This research work was completed while M.U. Mahfuz was with the University of Ottawa, Canada.

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Notes

  1. 1.

    In binary scheme, each symbol is represented as a bit (1 or 0), while in M-ary scheme, each symbol composes of log2M bits [1].

Abbreviations

ASK:

Amplitude-shift keying

BER:

Bit error rate

CEMC:

Concentration-encoded molecular communication

CIR:

Channel impulse response

CME:

Chemical master equation

EM:

Electromagnetic

FSK:

Frequency-shift keying

FPT:

First passage time

IM:

Impulse modulation

ISI:

Intersymbol interference

LRBP:

Ligand-receptor binding process

MC:

Molecular communication

M-AM:

Multilevel amplitude modulation

M-PAM:

Multilevel pulse amplitude modulation

OOK:

On-off keying

PAM:

Pulse amplitude modulation

RN:

Receiving nanomachine

RRE:

Reaction rate equations

SCK:

Stochastic chemical kinetics

TN:

Transmitting nanomachine

VAI:

Vibrio fischeri Auto-Inducer

VRV:

Virtual receiving volume

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Acknowledgements

M. U. Mahfuz would like to thank the Natural Sciences and Engineering Research Council of Canada (NSERC) for the financial support in the form of PGS-D scholarship during the years 2010–2013.

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Authors and Affiliations

  1. Department of Natural and Applied Sciences (Engineering Technology), University of Wisconsin-Green Bay, 2420 Nicolet Drive, Green Bay, WI, 54311, USA

    Mohammad Upal Mahfuz

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward Ave, Ottawa, ON, K1N 6N5, Canada

    Dimitrios Makrakis & Hussein T. Mouftah

Authors
  1. Mohammad Upal Mahfuz
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  2. Dimitrios Makrakis
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  3. Hussein T. Mouftah
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Correspondence to Mohammad Upal Mahfuz .

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Editors and Affiliations

  1. Department of Computer Science, University of Massachusetts, Boston, Massachusetts, USA

    Junichi Suzuki

  2. Graduate School of Biological Sciences, Osaka University, Osaka, Japan

    Tadashi Nakano

  3. 57006D Applied Science Building, Pennsylvania State University, State College, Pennsylvania, USA

    Michael John Moore

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Mahfuz, M.U., Makrakis, D., Mouftah, H.T. (2017). Concentration-Encoded Molecular Communication in Nanonetworks. Part 2: Performance Evaluation. In: Suzuki, J., Nakano, T., Moore, M. (eds) Modeling, Methodologies and Tools for Molecular and Nano-scale Communications. Modeling and Optimization in Science and Technologies, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-50688-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-50688-3_2

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