Skip to main content
SpringerLink
Log in

AIS Based Distributed Wireless Sensor Network for Mobile Search and Rescue Robot Tracking

  • Published:
Journal of Mathematical Modelling and Algorithms

Abstract

This research presents the implementation of GSCF, an AIS-based control framework, on a distributed wireless sensor network for tracking search and rescue robots in open fields. The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components; each carries a specific function that can generate long-term and short-term influences to other components by the use of humoral and cellular signals. The goal of the research is to develop mathematical models that can assist the control and analyses of robots behavior through the use of Suppressor Cells in the Suppression Modulator. Acquire data from the physical robot will be used as simulation parameters in future search and rescue research.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aickelin, U., Bentley, P., Cayzer, S., Kim, J., Mcleod, J.: Danger theory: the link between AIS and IDS. In: Proceeding of 2nd International Conference on Artificial Immune Systems, (ICARIS 2003), pp. 147–155 (2003)

  2. Birsel, R.: Pakistan: frantic search as Pakistani quake toll tops 20,000. ReliefWeb. http://www.library.cornell.edu/newhelp/res_strategy/citing/apa.html#apa (2005). Retrieved 12 June 2006, from the World Wide Web

  3. Centers for Disease Control and Prevention: Deaths associated with hurricanes Marilyn and Opal—United States, September-October 1995. http://www.cdc.gov/mmwr/preview/mmwrhtml/00040000.htm (1996). Retrieved 27 June 2006, from the World Wide Web

  4. Cserey, G., Porod, W., Roska, T.: An artificial immune system based visual analysis model and its real-time terrain surveillance application. In: Proc. 3rd International Conference on Artificial Immune Systems (ICARIS 2004), pp. 250–262. Catania, Italy, 13–16 September (2004)

  5. Dasgupta, D., KrishnaKumar, K., Wong, D., Berry, M.: Negative selection algorithm for aircraft fault detection. In: Proc. 3rd International Conference on Artificial Immune Systems (ICARIS 2004), pp. 1–13. Catania, Italy, 13–16 September (2004)

  6. de Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, New York (2002)

    MATH  Google Scholar 

  7. de Castro, L.N., Timmis, J.: Artificial immune systems as a novel soft computing paradigm. Softing Computing 7(8), 526–544 (2003)

    Google Scholar 

  8. Federal Emergency Management Agency: Cash sought to help hurricane victims, volunteers should not self-dispatch. http://www.fema.gov/news/newsrelease.fema?id=18473 (2005). Retrieved 27 June 2006

  9. Ko, W.Y.A., Lau, H.Y.K., Lau, T.L.: A decentralized control framework for modular robots. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2004), pp. 1774–1779. Sendai, Japan (2004)

  10. Ko, A., Lau, H.Y.K., Lau, T.L.: An immuno control framework for decentralized mechatronic control. In: Proc. 3rd International Conference on Artificial Immune Systems (ICARIS 2004), pp. 91–105 (2004)

  11. Ko, A., Lau, H.Y.K., Lau, T.L.: An Immuno Control Framework for Decentralized Mechatronic Control. International Journal of Unconventional Computing - 2005 Special Issues, pp. 225–280 (2005)

  12. Kobayashi, A., Nakamura, K.: Rescue robot for fire hazards. In: Proc. of International Conference on Advanced Robotics, pp. 91–98 (1983)

  13. Lau, Y.K.H., Wong, W.K.V.: Immunologic responses manipulation of AIS agents handling. In: Proc. 3rd International Conference on Artificial Immune Systems (ICARIS 2004), pp. 65–79. Catania, Italy, 13–16 September (2004)

  14. Murphy, R.R.: National science foundation summer field institute for rescue robots for research and response (R4). AI Mag. 25(2), 133–136 (2004)

    Google Scholar 

  15. National Severe Storms Laboratory: May 3, 1999 Oklahoma/Kansas Tornado outbreak. http://www.nssl.noaa.gov/headlines/outbreak.shtml (1999). Retrieved 22 May 2006

  16. Oda, T., White, T.: Immunity from Spam: an analysis of an artificial immune system for junk email detection. In: Proc. 4th International Conference on Artificial Immune Systems (ICARIS 2005), pp. 276–289 (2005)

  17. Paek, J., Chintalapudi, K., Govindan, R., Caffrey, J., Masri, S.: A wireless sensor network for structural health monitoring: performance and experience. In: Proc. 2nd IEEE Workshop on Embedded Networked Sensors, IEEE CS Press (2005). www.cse.unsw.edu.au/~emnet

  18. Patel, S., Lorincz, K., Hughes, R., Huggins, N., Growdon, J.H., Welsh, M., Bonato, P.: Analysis of feature space for monitoring persons with Parkinson’s disease with application to a wireless wearable sensor system. In: Proceedings of the 29th IEEE EMBS Annual International Conference, Lyon, France, August (2007). www.eecs.harvard.edu/~mdw/papers/parkinsons-embs07.pdf

  19. Sahan, S., Polat, K., Kodaz, H., Gunes, S.: The medical applications of attribute weighted artificial immune system (AWAIS): diagnosis of heart and diabetes diseases. In: Proc. 4th International Conference on Artificial Immune Systems (ICARIS 2005), pp. 65–79 (2005)

  20. Sharon, J.: Basic Immunology. Williams & Wilkins, Pennsylvania (1998)

    Google Scholar 

  21. Snyder, R.: Robots assist in search and rescue efforts at WTC. IEEE Robot. Autom. Mag. 8, 26–28 (2001)

    Google Scholar 

  22. Werner-Allen, G., Lorincz, K., Welsh, M.: Deploying a wireless sensor network on an active volcano. IEEE Internet Computing. 10(2), 18–25 (2006)

    Article  Google Scholar 

  23. Zubair, L.: Scientific background on the Indian ocean earthquake and tsunami. The International research Institute for Climate and Society. http://www.library.cornell.edu/newhelp/res_strategy/citing/apa.html#apa (2004). Retrieved 27 June 2006

Download references

Author information

Authors and Affiliations

  1. Intelligent Systems Laboratory, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China

    Albert Ko, Henry Y. K. Lau & Nicole M. Y. Lee

Authors
  1. Albert Ko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Henry Y. K. Lau
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nicole M. Y. Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Albert Ko.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ko, A., Lau, H.Y.K. & Lee, N.M.Y. AIS Based Distributed Wireless Sensor Network for Mobile Search and Rescue Robot Tracking. J Math Model Algor 8, 227–242 (2009). https://doi.org/10.1007/s10852-009-9105-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10852-009-9105-5

Keywords

Search

Navigation