AIS based distributed wireless sensor network for mobile search and rescue robot tracking

Albert KO*, Henry Y. K. LAU, Nicole M. Y. LEE

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)227-242
Number of pages16
JournalJournal of Mathematical Modelling and Algorithms
Issue number2
Early online date26 Feb 2009
Publication statusPublished - Jun 2009
Externally publishedYes


  • Artificial immune systems
  • Humanitarian search and rescue
  • Robotics
  • Wireless sensor networks


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