Abstract
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, the Affinity Evaluator, Cell Differentiator, Cell Reactor, Suppression Modulator, and the Local Environment. These reactive components, each responsible for a specific function, can generate long-term and short-term influences to other components by the use of humoral and cellular signals.This paper presents the design and application of a GSCF based distributed wireless sensor network prototyping system for tracking mobile search and rescue robots. The main objective of this physical prototyping system is to demonstrate the possibility of applying advanced Zigbee sensors to form a network that can locate a small group of mobile robots within the wireless sensor network. Another important objective of the prototyping system presented is to identify potential technological constraints in the physical system. Referencing to the result obtained, future research can be formulated and realistic simulation environment can be developed.
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Ko, A., Lau, H.Y.K., Lee, N.M.Y. (2008). AIS Based Distributed Wireless Sensor Network for Mobile Search and Rescue Robot Tracking. In: Bentley, P.J., Lee, D., Jung, S. (eds) Artificial Immune Systems. ICARIS 2008. Lecture Notes in Computer Science, vol 5132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85072-4_35
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DOI: https://doi.org/10.1007/978-3-540-85072-4_35
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