免疫思想和线性估计在WSN数据融合中的应用

Application of Immune Theory and Linear Estimation in WSN Data Fusion

以WSN网络为基础,在网络能耗和数据融合准确性方面提出了两种改进策略,把免疫学思想引入到融合的过程中,降低了整体能耗,应用线性估计测量修正法和关系矩阵对节点的融合策略进行改进,提升了融合的实时性和准确性。最后通过实验验证了两种策略可提高数据融合的可靠性和准确性,降低了能量的消耗和数据延迟,提升了整个网络的性能。

Two improved strategies about the network energy consumption and the accuracy of data fusion based on the WSN network are presented, in which the thinking of immunology is put into the fusion process to reduce the overall energy consumption, and the linear estinutim measurement correction and relational matrix methods are applied to improve node fusion real-time and accuracy. Finally, it is proved by experiments that the two strategies can improve the reliability and accuracy of the data fusion, reduce energy consumption and data delay, and improve the performance of the entire network.