An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics
In this paper, we present the first stage of our research strategy to develop an immune-inspired solution for detecting anomalies in a foraging swarm robotic system with an immuno-engineering approach. Within immuno-engineering, the initial stage of our research involves the understanding of problem domain, namely anomaly detection, in a foraging swarm robotic system deployed in dynamic environments. We present a systematically derived set of activities for this stage derived with Goal Structuring Notation and results of experiments carried out to establish the time-varying behaviour and how anomalies manifest themselves. Our future work will then be used to select and tailor an appropriate AIS algorithm to provide an effective and efficient means of anomaly detection.
KeywordsImmuno-engineering swarm robotics foraging
Unable to display preview. Download preview PDF.
- 1.Andrews, P.: An investigation of a methodology for the development of artificial immune systems. Ph.D thesis, Department of Computer Science, University of York (2009)Google Scholar
- 2.Bayindir, L., Sahin, E.: A review of studies in swarm robotics. Turkish Journal of Electrical Engineering and Computer Sciences 15(2) (2007)Google Scholar
- 3.Christensen, A.: Fault detection in autonomous robots. Ph.D. dissertation (2008)Google Scholar
- 7.Kelly, T.: Arguing Safety - A Systematic Approach to Safety Case Management. Ph.D thesis, Department of Computer Science, University of York (1999)Google Scholar
- 8.Lau, H.K., Timmis, J., Bate, I.: Anomaly detection inspired by immune network theory: A proposal. In: Proc. of the 2009 IEEE Congress on Evolutionary Computation (IEEE CEC 2009). IEEE, Los Alamitos (2009)Google Scholar
- 9.Liu, Y., Passino, K.M.: Swarm intelligence: Literature overview. Technical report, Ohio State University (March 2000)Google Scholar
- 10.SYMBRION REPLICATOR, http://www.symbrion.eu/
- 13.Segel, L., Cohen, I.: Design Principles for the Immune System and Other Distributed Autonomous Systems. Oxford University Press, USA (2001)Google Scholar
- 14.Stage-Player, http://playerstage.sourceforge.net/
- 15.Stepney, S., Smith, R., Timmis, J., Tyrrell, A., Neal, M., Hone, A.: Conceptual frameworks for artificial immune systems. Int’l Journal of Unconventional Computing 1(3), 315–338 (2005)Google Scholar