Intelligent Information Processing of WSN Based on Vague Sets Theory and Applied in Control of Coal Mine Monitoring

To overcome the disadvantage of the imperfect and uncertain data and redundancy node, reduce energy efficiency of communications and data processing, an optimization model based on agent distributed computation is proposed. In this model, vague set theory is used to optimize and reduce data. Furthermore, it is applied to intelligent information processing of wireless sensor networks (WSN) as clusters shape. Meanwhile, in the real-time demonstration of coal mine monitoring, the analysis indicate that this method may optimize the node scale and make node automatic gain and transmit effective minimum information, through carrying on the data analysis to each cluster, reducing the knowledge, choosing the decision rule, realize the energy efficiency optimization. At last, a practical project verifies its effectiveness.