CHARACTERIZATION OF MOLECULAR COMMUNICATION CHANNEL FOR NANOSCALE NETWORKS

Mohammad Upal Mahfuz, Dimitrios Makrakis, Hussein Mouftah

Abstract

Recently molecular communication is being considered as a new communication physical layer option for nanonetworks. Nanonetworks are based on nanoscale artificial or bio-inspired nanomachines. Traditional communication technologies cannot work on the nanoscale because of the size and power consumption of transceivers and other components. On the other hand, a detailed knowledge of the molecular communication channel is necessary for successful communication. Some recent studies analyzed propagation impairment and its effects on molecular propagation. However, a proper characterization of the molecular propagation channel in nanonetworks is missing in the open literature. This goes without saying that a molecular propagation channel has to be characterized first before any performance evaluation can be made. Due to the nanoscale dimension of the nanomachines involved in molecular communication a measurement based approach using in vitro experiments is extremely difficult. In addition, a proper tuning of the experimental parameters is mandatory. This is why the authors were motivated to characterize the ‘channel quantum response (CQR)’ or equivalently the ‘throughput response’ of bio-inspired nanonetworks with an alternative approach. This paper considers the molecular channel as particle propagation. The CQR i.e. the throughput response and its characteristics have been found in order to better-understand the molecular channel behavior of nanonetworks.

References

  1. Akyildiz, I. F., Brunetti, F., Blazquez, C., 2008. NanoNetworking: A New Communication Paradigm. Computer Networks Journal (Elsevier), Vol. 52, pp. 2260-2279, August, 2008.
  2. Atakan, B., Akan, O. B., 2007. An Information Theoretical Approach for Molecular Communication. In IEEE/ACM Bionetics, Budapest, Hungary, December.
  3. Berg, H. C., 1993. Random Walks in Biology, Princeton University Press.
  4. Bossert, W. H., 1963. Analysis of Olfactory Communication among Animals. Journal of Theoretical Biology, pp.443-469.
  5. Lacasa, N. R., 2009. Modeling the Molecular Communication Nanonetworks. M.Sc. thesis, The Universitat Politècnica de Catalunya (UPC), Spain, January.
  6. Moritani, Y., Hiyama, S., Suda, T., 2006. Molecular Communication for Health Care Applications. In Fourth IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 549- 553, March.
  7. Moore, M. J., Suda, T., Oiwa, K., 2009. Molecular Communication: Modeling Noise Effects on Information Rate. IEEE Trans. on Nanobioscience, vol. 8, no. 2, pp. 169-180, June.
  8. Parcerisa, L., Akyildiz, I. F., 2009. Molecular Communication Options for Long Range Nanonetworks. to appear in Communication Networks (Elsevier) Journal, UK.
Download


Paper Citation


in Harvard Style

Upal Mahfuz M., Makrakis D. and Mouftah H. (2010). CHARACTERIZATION OF MOLECULAR COMMUNICATION CHANNEL FOR NANOSCALE NETWORKS . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 327-332. DOI: 10.5220/0002757303270332


in Bibtex Style

@conference{biosignals10,
author={Mohammad Upal Mahfuz and Dimitrios Makrakis and Hussein Mouftah},
title={CHARACTERIZATION OF MOLECULAR COMMUNICATION CHANNEL FOR NANOSCALE NETWORKS},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={327-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002757303270332},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - CHARACTERIZATION OF MOLECULAR COMMUNICATION CHANNEL FOR NANOSCALE NETWORKS
SN - 978-989-674-018-4
AU - Upal Mahfuz M.
AU - Makrakis D.
AU - Mouftah H.
PY - 2010
SP - 327
EP - 332
DO - 10.5220/0002757303270332