Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
A wireless sensor network for structural health monitoring: performance and experience
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Immunity from spam: an analysis of an artificial immune system for junk email detection
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
Applied Soft Computing
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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.