Abstract
Scientist and researchers have shown higher interest in the development of biologically inspired algorithms in recent years, to solve multiple complex computational problems. Different solutions were proposed by various authors using artificial immune system (AIS), ant colony optimization (ACO), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, and genetic algorithm (GA). Fault diagnosis in wireless sensor network (WSN) is very crucial because of the application where it is used. The issue of fault diagnosis in wireless sensor network can be comparable in many aspects with an artificial immune system. Different approaches to artificial immune system have been discussed in this chapter that can be applied to fault diagnosis of wireless sensor network. An overall view of the biological immune system is explained in detail. Different artificial immune system’s applications are also discussed.
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