[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.4108/eai.3-12-2015.2262509guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article
Free access

Offset and Skew Estimation for Clock Synchronization in Molecular Communication Systems

Published: 24 May 2016 Publication History

Abstract

Nanonetwork is a promising research field. It is composed of a number of nanoscale devices and is envisioned to apply to many potential applications. Clock synchronization is essential to establish a distributed cooperation among the nano-devices. This paper investigates the clock synchronization issue for the molecular communication system in the presence of Gaussian distributed propagation delay. A two-way message exchange mechanism is proposed. The closed-form expressions of maximum likelihood estimators for the clock offset and the clock skew are derived. Simulation results further demonstrate the effectiveness of the proposed estimators. This work lays a foundation for the complex cooperation of nanomachines in the nanonetworks.

References

[1]
I. F. Akyildiz, J. M. Jornet, and M. Pierobon. Nanonetworks: a new frontier in communications. Communications of the ACM, 54(11):84-89, 2011.
[2]
T. Nakano, M. J. Moore, F. Wei, A. V. Vasilakos, and J. Shuai. Molecular communication and networking: Opportunities and challenges. IEEE Transactions on NanoBioscience, 11(2):135-148, 2012.
[3]
Y. Chahibi, M. Pierobon, S. O. Song, and I. F. Akyildiz. A molecular communication system model for particulate drug delivery systems. IEEE Transactions on Biomedical Engineering, 60(12):3468-3483, 2013.
[4]
I. F. Akyildiz, F. Brunetti, and C. Blázquez. Nanonetworks: A new communication paradigm. Computer Networks, 52(12):2260-2279, 2008.
[5]
N. Farsad, H. B. Yilmaz, A. Eckford, C.-B. Chae, and W. Guo. A Comprehensive Survey of Recent Advancements in Molecular Communication. arXiv preprint arXiv:1410.4258, 2014.
[6]
T. Nakano, T. Suda, Y. Okaie, M. Moore, and A. Vasilakos. Molecular Communication Among Biological Nanomachines: A Layered Architecture and Research Issues. IEEE Transactions on NanoBioscience, 13(3):169-197, 2014.
[7]
C. Lo, Y.-J. Liang, and K.-C. Chen. A Phase Locked Loop for Molecular Communications and Computations. IEEE Journal on Selected Areas in Communications (JSAC), 32(12):2381-2391, 2014.
[8]
S. Abadal, and I. F. Akyildiz. Automata modeling of quorum sensing for nanocommunication networks. Nano Communication Networks, 2(1):74-83, 2011.
[9]
S. Abadal, and I. F. Akyildiz. Bio-Inspired Synchronization for Nanocommunication Networks. In Proc. IEEE Global Telecommunications Conference (GLOBECOM), pages 1-5, 2011.
[10]
M. J. Moore, and T. Nakano. Synchronization of inhibitory molecular spike oscillators. Bio-Inspired Models of Networks, Information, and Computing Systems, Springer, pages 183-195, 2012.
[11]
M. J. Moore, and T. Nakano. Oscillation and Synchronization of Molecular Machines by the Diffusion of Inhibitory Molecules. IEEE Transactions on Nanotechnology, 12(4):601-608, 2013.
[12]
H. ShahMohammadian, G. G. Messier, and S. Magierowski. Blind Synchronization in Diffusion-Based Molecular Communication Channels. IEEE Communications Letters, 17(11):2156-2159, 2013.
[13]
K. Srinivas, A. W. Eckford, and R. S. Adve. Molecular communication in fluid media: The additive inverse gaussian noise channel. IEEE Transactions on Information Theory, 58(7):4678-4692, 2012.
[14]
H. Li, S. M. Moser, and D. Guo. Capacity of the Memoryless Additive Inverse Gaussian Noise Channel. IEEE Journal on Selected Areas in Communications (JSAC), 32(12):2315-2329, 2014.
[15]
N.-R. Kim, A. W. Eckford, and C.-B. Chae. Symbol interval optimization for molecular communication with drift. IEEE Transactions on NanoBioscience, 13(3): 223-229, 2014.
[16]
L. Lin, C. Yang, M. Ma, and S. Ma. Diffusion-Based Clock Synchronization for Molecular Communication Under Inverse Gaussian Distribution. IEEE Sensors Journal, 15(9):4866-4874, 2015.
[17]
N.-R. Kim, and C.-B. Chae. Novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion. IEEE Journal on Selected Areas in Communications (JSAC), 31(12):847-856, 2013.
[18]
J. Philibert. One and a half century of diffusion: Fick, Einstein, before and beyond. Diffusion Fundamentals, 2(1):1-10, 2005.
[19]
L. Rensing, and P. Ruoff. Temperature effect on entrainment, phase shifting, and amplitude of circadian clocks and its molecular bases. Chronobiology International, 19(5):807-864, 2002.
[20]
C. W. Gardiner. Handbook of stochastic methods. Springer Berlin, 1985.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings
BICT'15: Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)
May 2016
618 pages
ISBN:9781631901003
  • Editors:
  • Junichi Suzuki,
  • Tadashi Nakano,
  • Henry Hess

Publisher

ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 24 May 2016

Author Tags

  1. clock synchronization
  2. maximum likelihood estimation
  3. molecular communication
  4. nanonetworks

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 155
    Total Downloads
  • Downloads (Last 12 months)48
  • Downloads (Last 6 weeks)3
Reflects downloads up to 01 Jan 2025

Other Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media