Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Channel Capacity of Molecular Signaling via Diffusion in Confined Microenvironment

Author(s): Uche A.K. Chude-Okonkwo*

Volume 12, Issue 3, 2022

Published on: 17 March, 2022

Page: [235 - 244] Pages: 10

DOI: 10.2174/2210327912666220105143734

Price: $65

conference banner
Abstract

Aims: To model molecular signal propagation in confined environment.

Background: Molecular communication (MC) is rooted in the concepts of understanding, modeling, and engineering information exchange among naturally and artificially synthesized nanosystems. To develop or analyze an MC system, there is the need to model the communication channel through which the molecular signal diffuse, from the transmitter to the receiver. Many models for the diffusion- based MC channel have been proposed in the literature for evaluating the performance of MC systems. Most of the contemporary works assume, and rightly so for some scenarios, that the MC channels under consideration have infinite boundaries. However, this assumption becomes invalid in bounded domains such as the interiors of natural cells and artificially synthesized nanosystems.

Objective: In this paper, the model of molecular propagation in a confined. microenvironment is employ to explore the effect of such an environment on the MC system.

Methods: The mutual information of the channel and specifically the closed-form expression of the channel capacity of the molecular signaling in the confined geometry is derive.

Result: Numerical results showing the variation in the channel capacity as the function of the channel dimension are presented.

Conclusion: Results showed that the channel capacity increases with the decrease in the channel dimension. Subsequently, as the dimension of the channel tends to the nanoscale range typical of many artificially synthesized nanosystems, the effect of the channel width on the capacity and by induction on many other system metrics increases.

Keywords: Molecular communication, confined channel, mutual information, channel capacity, nanosystems, microenvironment.

« Previous Next »
Graphical Abstract

[1]
Nakano T, Eckford AW, Haraguchi T. Molecular communication. United Kingdom: Cambridge University Press 2013.
[http://dx.doi.org/10.1017/CBO9781139149693]
[2]
Lu Y, Ni R, Zhu Q. Wireless communication in nanonetworks: current status, prospect and challenges. IEEE Trans Mol Biol Multiscale Commun 2020; 6(2): 71-80.
[http://dx.doi.org/10.1109/TMBMC.2020.3004304]
[3]
Chude-Okonkwo UA, Malekian R, Maharaj BT. Advanced targeted nanomedicine. Switzerland: Springer 2019.
[http://dx.doi.org/10.1007/978-3-030-11003-1]
[4]
Nakano T, Moore MJ, Wei F, Vasilakos AV, Shuai J. Molecular communication and networking: opportunities and challenges. IEEE Trans Nanobioscience 2012; 11(2): 135-48.
[http://dx.doi.org/10.1109/TNB.2012.2191570] [PMID: 22665393]
[5]
Pierobon M, Akyildiz IF. A physical end-to-end model for molecular communication in nanonetworks. IEEE J Sel Areas Comm 2010; 28(4): 602-11.
[http://dx.doi.org/10.1109/JSAC.2010.100509]
[6]
Srinivas K, Eckford AW, Adve RS. Molecular communication in fluid media: The additive inverse gaussian noise channel. IEEE T In-form. Theo 2012; 58(7): 4678-92.
[7]
Jamali V, Ahmadzadeh A, Wicke W, Noel A, Schober R. Channel modeling for diffusive molecular communication-A tutorial review. Proc IEEE 2019; 107(7): 1256-301.
[http://dx.doi.org/10.1109/JPROC.2019.2919455]
[8]
Bicen AO, Akyildiz IF, Balasubramaniam S, Koucheryavy Y. Linear channel modeling and error analysis for intra/inter-cellular Ca 2+ molecular communication. IEEE Trans Nanobiosci 2016; 15(5): 488-98.
[http://dx.doi.org/10.1109/TNB.2016.2574639] [PMID: 27514062]
[9]
Bao X, Zhu Y, Zhang W. Channel characteristics for molecular communication via diffusion with a spherical boundary. IEEE Wirel Commun Lett 2019; 8(3): 957-60.
[http://dx.doi.org/10.1109/LWC.2019.2902093]
[10]
Ankit MR, Bhatnagar MR. Diffusion channel characterization for a cuboid container: some insights into the role of dimensionality and fluid boundaries. SPCOM 2020 - International Conference on Signal Processing and Communications. 2020; 1-5.
[11]
Roh S, Chung T, Lee B. Overview of the characteristics of microand nano-structured surface plasmon resonance sensors. Sensors (Basel) 2011; 11(2): 1565-88.
[http://dx.doi.org/10.3390/s110201565] [PMID: 22319369]
[12]
Sakhrani NM, Padh H. Organelle targeting: third level of drug targeting. Drug Des Devel Ther 2013; 7: 585-99.
[PMID: 23898223]
[13]
Torchilin VP. Cell penetrating peptide-modified pharmaceutical nanocarriers for intracellular drug and gene delivery. Biopolymers 2008; 90(5): 604-10.
[http://dx.doi.org/10.1002/bip.20989] [PMID: 18381624]
[14]
Chugh A, Eudes F, Shim YS. Cell-penetrating peptides: Nanocarrier for macromolecule delivery in living cells. IUBMB Life 2010; 62(3): 183-93.
[http://dx.doi.org/10.1002/iub.297] [PMID: 20101631]
[15]
Chude-Okonkwo UA, Malekian R, Maharaj BT. Molecular communication model for targeted drug delivery in multiple disease sites with diversely expressed enzymes. IEEE Trans Nanobiosci 2016; 15(3): 230-45.
[http://dx.doi.org/10.1109/TNB.2016.2526783] [PMID: 27071183]
[16]
Nakano T, Okaie Y, Liu JQ. Channel model and capacity analysis of molecular communication with Brownian motion. IEEE Commun Lett 2012; 16(6): 797-800.
[http://dx.doi.org/10.1109/LCOMM.2012.042312.120359]
[17]
Chude-Okonkwo UAK, Maharaj BT, Vasilakos AV, Malekian R. Information-theoretic model and analysis of molecular signaling in tar-geted drug delivery. NanoBiosc 2020; 19(2): 270-84.
[http://dx.doi.org/10.1109/TNB.2020.2968567] [PMID: 31985433]
[18]
Lin L, Wu Q, Liu F, Yan H. Mutual information and maximum achievable rate for mobile molecular communication systems. IEEE Trans Nanobioscience 2018; 17(4): 507-17.
[http://dx.doi.org/10.1109/TNB.2018.2870709] [PMID: 30235143]
[19]
Chude-Okonkwo UA, Malekian R, Maharaj BT, Vasilakos AV. Molecular communication and nanonetwork for targeted drug delivery: A survey. IEEE Commun Surv and Tutor 2017; 19(4): 3046-96.
[http://dx.doi.org/10.1109/COMST.2017.2705740]
[20]
Meng F, Cheng R, Deng C, Zhong Z. Intracellular drug release nanosystems. Mater Today 2012; 15(10): 436-42.
[http://dx.doi.org/10.1016/S1369-7021(12)70195-5]
[21]
Parodi A, Corbo C, Cevenini A, et al. Enabling cytoplasmic delivery and organelle targeting by surface modification of nanocarriers. Nanomedicine (Lond) 2015; 10(12): 1923-40.
[http://dx.doi.org/10.2217/nnm.15.39] [PMID: 26139126]
[22]
Wang Y, Deng Y, Luo H, et al. Light-responsive nanoparticles for highly efficient cytoplasmic delivery of anticancer agents. ACS Nano 2017; 11(12): 12134-44.
[http://dx.doi.org/10.1021/acsnano.7b05214] [PMID: 29141151]
[23]
Cruz L, Soares LU, Costa TD, et al. Diffusion and mathematical modeling of release profiles from nanocarriers. Int J Pharm 2006; 313(1-2): 198-205.
[http://dx.doi.org/10.1016/j.ijpharm.2006.01.035] [PMID: 16503103]
[24]
Mircioiu C, Voicu V, Anuta V, et al. Mathematical modeling of release kinetics from supramolecular drug delivery systems. Pharmaceutics 2019; 11(3): 1-45.
[http://dx.doi.org/10.3390/pharmaceutics11030140] [PMID: 30901930]
[25]
Schulten KJ, Kosztin I. Lectures in theoretical biophysics. University of Illinois 2000; 117.
[26]
Lindell IV. Methods for electromagnetic field analysis. 2nd ed. Piscataway, NJ: IEEE Press 1992.
[27]
Fischer HB, List JE, Koh RC, Imberger J, Brooks NH. Mixing in inland and coastal waters. San Diego: Academic Press 1979.
[28]
Chong H-F, Motani M, Garg HK. Capacity theorems for the “Z” channel. IEEE Trans Inf Theory 2007; 53(4): 1348-65.
[http://dx.doi.org/10.1109/TIT.2006.890779]
[29]
FH and D. A. Schum. The evidential foundations of probabilistic reasoning. J Am Stat Assoc 1995; 90(431)
[http://dx.doi.org/10.2307/2291371]
[30]
Kühn T, Ihalainen TO, Hyväluoma J, et al. Protein diffusion in mammalian cell cytoplasm. PLoS One 2011; 6(8): e22962.
[http://dx.doi.org/10.1371/journal.pone.0022962] [PMID: 21886771]
[31]
Mastro AM, Babich MA, Taylor WD, Keith AD. Diffusion of a small molecule in the cytoplasm of mammalian cells. Proc Natl Acad Sci USA 1984; 81(11): 3414-8.
[http://dx.doi.org/10.1073/pnas.81.11.3414] [PMID: 6328515]
[32]
Romantsov T, Fishov I, Krichevsky O. Internal structure and dynamics of isolated Escherichia coli nucleoids assessed by fluorescence correlation spectroscopy. Biophys J 2007; 92(8): 2875-84.
[http://dx.doi.org/10.1529/biophysj.106.095729] [PMID: 17259281]
[33]
Campbell NA, Mitchell LG, Reece JB, Taylor MR. Biology: concepts & connections. Menlo Park, California: Benjamin Cummings 1997.
[34]
Conrad K. Probability distributions and maximum entropy. Entropy (Basel) 2004; 6(452): 1-27.

Rights & Permissions Print Cite
Article Metrics
15
1
© 2024 Bentham Science Publishers | Privacy Policy