Dynamic hierarchical committee for mulitple agent decision in wireless sensor networks

Decision methods for information processing affect significantly the efficiency and accuracy of networked sensing in wireless sensor networks. Mobile agent technology supplies an efficient cooperation mechanism, which can compensate the poor capability of single node. This paper proposes a dynamic hierarchical committee for multiple agent decision, which is a two-level structure: in the lower level, several sub-committees, concluding a local decision respectively, are dynamically organized by the energy-efficient optimization of adapted genetic algorithm; local decisions of sub-committees are nonlinearly combined in the upper level. The performance of dynamic hierarchical committee is verified through simulation and practical defect location of printed circuit board. The results show the proposed method can remarkably decrease the energy consumption with sacrifice of real-time. The confidence and accuracy of decision is more precise than centralized non-committee method.