Skip to main content

Comparing Different Overlay Topologies and Metrics in Pulse-Coupled Multi-Agent Systems

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7327))

Abstract

In Multi-Agent Systems (MASs) it is of vital importance that basic network operations are performed without the interference of a central entity (i.e. agent). In this paper we will present how to use a self-organization approach to achieve time synchronization of agents in MASs using a Pulse-Coupled Oscillators (PCO) model that is based on flashing fireflies. Fireflies are known to emit flashes at regular intervals when isolated, but when they are within a group, they converge upon the same rhythm until time synchronization is achieved. This paper investigates how the choice of overlay network topology and metric affects the time synchronization process of agents in MASs.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. An, Z., et al.: Linear Pulse-Coupled Oscillators Model: A New Approach for Time Synchronization in Wireless Sensor Networks. Advances in Complex Systems 2(2), 108–114 (2010)

    Google Scholar 

  2. Babaoglu, O., et al.: Firefly-Inspired Heartbeat Synchronization in Overlay Networks. In: Proceedings of Self-Adaptive and Self-Organizing Systems Conference, pp. 77–86 (2007)

    Google Scholar 

  3. Bojic, I., et al.: A Self-Optimizing Mobile Network: Auto-Tuning the Network with Firefly-Synchronized Agents. Information Sciences 182(1), 77–92 (2012)

    Article  Google Scholar 

  4. Bojic, I., Kusek, M.: Fireflies Synchronization in Small Overlay Networks. In: Proceedings of Information and Communication Technology, Electronics and Microelectronics Conference, pp. 27–32 (2009)

    Google Scholar 

  5. Buck, J., et al.: Control of Flashing in Fireflies. Journal of Comparative Physiology A 144, 287–298 (1981)

    Article  Google Scholar 

  6. Camazine, S., et al.: Self-Organization in Biological Systems. Princeton University Press (2003)

    Google Scholar 

  7. Leidenfrost, R., Elmenreich, W.: Establishing Wireless Time-Triggered Communication Using a Firefly Clock Synchronization Approach. In: Proceedings of Intelligent Solutions in Embedded Systems Workshop, pp. 1–18 (2008)

    Google Scholar 

  8. Leidenfrost, R., Elmenreich, W.: Firefly Clock Synchronization in an 802.15.4 Wireless Network. EURASIP Journal on Embedded Systems (7), 1–17 (2009)

    Google Scholar 

  9. Lucarelli, D., Wang, I.J.: Decentralized Synchronization Protocols with Nearest Neighbor Communication. In: Proceedings of Embedded Networked Sensor Systems Conference, pp. 62–68 (2004)

    Google Scholar 

  10. MASON web site, http://www.cs.gmu.edu/~eclab/projects/mason/

  11. Mirollo, R.E., Strogatz, S.H.: Synchronization of Pulse-Coupled Biological Oscillators. SIAM Journal on Applied Mathematics 50(6), 1645–1662 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  12. Nath, S., Gibbons, P.: Communicating via Fireflies: Geographic Routing on Duty-Cycled Sensors. In: Proceedings of Information Processing in Sensor Networks Conference, pp. 440–449 (2007)

    Google Scholar 

  13. Scholtes, I., et al.: Epidemic Self-Synchronization in Complex Networks of Kuramoto Oscillators. Advances in Complex Systems 13(1) (2010)

    Google Scholar 

  14. Taniguchi, Y., Wakamiya, N., Murata, M.: A Distributed and Self-Organizing Data Gathering Scheme in Wireless Sensor Networks. In: Proceedings of Information and Telecommunication Technologies Symposium, pp. 299–304 (2005)

    Google Scholar 

  15. Werner-Allen, G., et al.: Firefly-Inspired Sensor Network Synchronicity with Realistic Radio Effects. In: Proceedings of Embedded Networked Sensor Systems Conference, pp. 142–153 (2005)

    Google Scholar 

  16. Wokoma, I., et al.: A Weakly Coupled Adaptive Gossip Protocol for Application Level Active Networks. In: Proceedings of Policies for Distributed Systems and Networks Workshop, pp. 244–247 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bojic, I., Kusek, M. (2012). Comparing Different Overlay Topologies and Metrics in Pulse-Coupled Multi-Agent Systems. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30947-2_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30946-5

  • Online ISBN: 978-3-642-30947-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics