Abstract
Molecular communication is a new nano-scale communication paradigm that enables nanomachines to communicate with each other by emitting molecules to their surrounding environment. Nanonetworks are also envisioned to be composed of a number of nanomachines with molecular communication capability that are deployed in an environment to share specific molecular information such as odor, flavour, light, or any chemical state. In this paper, using the principles of natural ligand-receptor binding mechanisms in biology, we first derive a capacity expression for single molecular channel in which a single Transmitter Nanomachine (TN) communicates with a single Receiver Nanomachine (RN). Then, we investigate the capacity of the molecular multiple-access channel in which multiple TNs communicate with a single RN. Numerical results reveal that high molecular communication capacities can be attainable for the single and multiple-access molecular channels.
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References
Hiyama, S., Moritani, Y., Suda, T., Egashira, R., Enomoto, A., Moore, M., Nakano, T.: Molecular Communication. In: Proc. of NSTI Nanotechnology Conference and Trade Show, California, USA, pp. 391–394 (2005)
Akyildiz, I.F., Brunetti, F., Blazquez, C.: NanoNetworking: A New Communication Paradigm. Computer Networks (Elsevier) 52(12), 2260–2279 (2008)
Moore, M., Enomoto, A., Nakano, T., Egashira, R., Suda, T., Kayasuga, A., Kojima, H., Sakakibara, H., Oiwa, K.: A Design of a Molecular Communication System for Nanomachines Using Molecular Motors. In: Proc. of IEEE International Workshops on Pervasive Computing and Communications (PERCOMW), Italy (2006)
Eckford, A.W.: Molecular communication: Physically realistic models and achievable information rates. Submitted to IEEE Transactions on Information Theory (2008)
Eckford, A.W.: Nanoscale communication with Brownian motion. In: Proc. of International Conference on Information Sciences and Systems, Baltimore, MD, pp. 160–165 (2007)
Atakan, B., Akan, O.B.: On Channel Capacity and Error Compensation in Molecular Communication. Springer Trans. on Computational System Biology 10, 59–80 (2008)
Atakan, B., Akan, O.B.: On Molecular Multiple-Access, Broadcast and Relay Channels in Nanonetworks. In: Proc. of ACM International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS), Hyogo, Japan (2008)
Rospars, J.P., Krivan, V., Lansky, P.: Perireceptor and receptor events in olfaction. Comparison of concentration and flux detectors: a modeling study. Chemical Sense 25, 293–311 (2000)
Krivan, V., Lansky, P., Rospars, J.P.: Coding of periodic pulse stimulation in chemoreceptors. Biosystem (Elsevier) 67, 121–128 (2002)
Malaka, R., Ragg, T., Hammer, M.: Kinetic models of odor transduction implemented as artificial neural networks. Biological Cybernetics 73, 195–207 (1995)
Northrup, S.H., Allison, S.A., McCammon, J.: Brownian dynamics simulation of diffusion-influenced bimolecular reactions. Journal of Chemical Physics 80, 1517–1524 (1984)
Berg, H.C., Purcell, E.M.: Physics of chemoreception. Biophysical Journal 20, 193–219 (1977)
Chang, K.C., Hammer, D.A.: The Forward Rate of Binding of Surface-Tethered Reactants: Effect of Relative Motion between Two Surfaces. Biophysical Journal 76, 1280–1292 (1999)
Cooper, M.A.: Label-free screening of bio-molecular interactions. Analytical and Bioanalytical Chemistry 377, 834–842 (2003)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. John Wiley-Sons, Chichester (2006)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Atakan, B., Akan, O.B. (2009). Single and Multiple-Access Channel Capacity in Molecular Nanonetworks. In: Schmid, A., Goel, S., Wang, W., Beiu, V., Carrara, S. (eds) Nano-Net. NanoNet 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04850-0_2
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DOI: https://doi.org/10.1007/978-3-642-04850-0_2
Publisher Name: Springer, Berlin, Heidelberg
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