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Propagation Delay of Brownian Molecules in Nano-Biosensor Networks

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Bio-Inspired Models of Networks, Information, and Computing Systems (BIONETICS 2011)

Abstract

In the emerging area of nanonetworks, nano to micro-scale devices called nanomachines are deployed to perform various tasks for applications [1][2]. In this short paper, we consider a biosensor network that consists of nano-scale biosensors; i.e., sensors capable of sensing chemical signals (e.g., toxic chemical substances). In the biosensor network, stationary sensors are distributed over a two dimensional space, and expected to capture a chemical signal that appears in the space and that propagates via Brownian motion. We employ two different placement schemes to distribute sensors, and measure the propagation delay that is required to detect a chemical signal. Preliminary simulation results are provided to show the impact of placement schemes as well as the number of sensors on the propagation delay.

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References

  1. Hiyama, S., Moritani, Y.: Molecular communication: Harnessing biochemical materials to engineer biomimetic communication systems. Nano Communication Networks 1, 20–30 (2010)

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Okaie, Y., Moore, M.J., Nakano, T. (2012). Propagation Delay of Brownian Molecules in Nano-Biosensor Networks. In: Hart, E., Timmis, J., Mitchell, P., Nakamo, T., Dabiri, F. (eds) Bio-Inspired Models of Networks, Information, and Computing Systems. BIONETICS 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32711-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-32711-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32710-0

  • Online ISBN: 978-3-642-32711-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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