Skip to main content

The Initial Investigation of the Design and Energy Sharing Algorithm Using Two-Ways Communication Mechanism for Swarm Robotic Systems

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 331))

Abstract

Swarm Robotics (SR) is a new field of study that is mainly concerned with con-trolling and coordinating a multiple small robots. SR has several key characteristics that make it a preferable choice for a variety of tasks. The characteristics include lower cost, easiness to program, scalability of tasks and fault tolerance. The robustness from fault tolerance in SR comes from having a group of small robots working on the same task and thus enabling them to tolerate the loss of a few members of the swarm as the other members can still continue with the mission. However it has shown that continuous failure of members of a swarm such as those due to low energy have a significant impact on the overall performance of the swarm. In addition, the possibility of completion of the task is also dependent on the percentage of the swarm falling out of the group due insufficient energy. Some of the work that has been proposed by the researchers is by adding a charging station or a removable charger. However, these techniques have their own limitations. Therefore a work on having the robot(s) to charger themselves without the help of the charging station or a removable charger is proposed. But the work is only proven successful in simulation without a proper design and testing in a real robots scenario. This paper is therefore will describe our initial investigation on the design and the implementation of energy sharing algorithm using two-ways robotic swarm communication mechanism with NRF2401.

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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. Bayindir, L., Sahin, E.: A review of studies in swarm robotics. Turkish Journal of Electrical Engineering 15(2), 115–147 (2007)

    Google Scholar 

  2. Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization. IEEE Computational Intelligence Magazine 1(4), 28–39 (2006)

    Article  Google Scholar 

  3. Jevtic, A., Andina, D.: Swarm intelligence and its applications in swarm robot-ics. In: 6th WSEAS Int. Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, pp. 41–46 (2007)

    Google Scholar 

  4. Miner, D.: Swarm robotics algorithms: A survey. Technical report, University of Maryland (2007)

    Google Scholar 

  5. Şahin, E.: Swarm robotics: From sources of inspiration to domains of application. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 10–20. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. Pineda, L.E., Eiben, A.E., van Steen, M.: Evolving Communication in Robotic Swarms Using On-Line, On-Board, Distributed Evolutionary Algorithms. In: Di Chio, C., et al. (eds.) EvoApplications 2012. LNCS, vol. 7248, pp. 529–538. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Di Caro, G., Ducatelle, F., Gambardella, L.M.: Wireless communications for dis-tributed navigation in robot swarms (2009)

    Google Scholar 

  8. Ismail, A.R.: Immune-Inspired Self-Healing Swarm Robotic Systems. Ph.D. dissertation, University of York, United Kingdom (2011)

    Google Scholar 

  9. Das, S.M., et al.: Efficient Unicast Messaging for Mobile Robot. In: International Conference on Robotics and Automation, pp. 93–98 (2005)

    Google Scholar 

  10. Fernandes, P., Nunes, U.: Platooning with DSRC-Based IVC-Enabled Autonomous Vehicles: Adding Infrared Communications for IVC Reliability Improvement. In: Intelligent Vehicles Symposium, pp. 517–522 (2012)

    Google Scholar 

  11. Liu, H., et al.: A Common Wireless Remote Control System for Mobile Robots in Laboratory (2012)

    Google Scholar 

  12. Ortega-Cisneros, S., et al.: Implementation of A Wireless Control System with Self Timed Activation for Mobile Robots, pp. 205–208 (2008)

    Google Scholar 

  13. Jaskot, K., Babiarz, A.: Autonomous Mobile Platform II. In: 12th International Carpathian Control Conference, pp. 167–171 (2011)

    Google Scholar 

  14. Vaussard, F., et al. (n.d.): Towards Long-Term Collective Experiments

    Google Scholar 

  15. Arvin, F., Samsudin, K., Ramli, A.R.: Swarm Robots Long Term Autonomy Using Moveable Charger. In: International Conference on Future Computer and Communication, pp. 127–130 (2009)

    Google Scholar 

  16. Cai, G., Harada, Y.: Design of Group Robots System Based on Wireless Communication. In: International Conference of Information Technology, Computer Engineering and Management Sciences, pp. 19–22 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amelia Ritahani Ismail .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Ismail, A.R., Desia, R., Zuhri, M.F.R. (2015). The Initial Investigation of the Design and Energy Sharing Algorithm Using Two-Ways Communication Mechanism for Swarm Robotic Systems. In: Phon-Amnuaisuk, S., Au, T. (eds) Computational Intelligence in Information Systems. Advances in Intelligent Systems and Computing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-319-13153-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13153-5_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13152-8

  • Online ISBN: 978-3-319-13153-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics