井下传感器分布的特点对WSN节点分簇式DFD故障诊断算法的分簇方方式、簇头节点选择方法及各簇稳定后信息传递方式等做了改进,提出一种适合井下无线传感器网络特点的节点故障诊断算法.由于井下环境相比普通应用环境有其特殊性,所以环境监测传感器一般为呈长条形的链式分布在巷道内,不能按照普通的随机分布网络结构进行诊断.本算法符合井下无线传感器网络节点的故障诊断对故障定位精度、算法低耗能和高度稳定的要求.最后并通过仿真验证相比普通算法其能耗更小,精度较高,从而拥有更强的生存能力.
This paper puts forward a suited wireless sensor network node fault diagnosis algorithm to the characteristics of the underground wireless sensor network , according to the characteristics of the distribution of downhole sensor fault diagnosis algorithm for WSN node clustering DFD clustering way, cluster head node selection method , as well as improving on the stable ability after the clustering. Aimed at the specialties of the downhole application environment: the environment monitoring sensor is usually a long chain distribution within the roadway, cannot he carried out in accordance with the normal random distribution network structure . This algorithm meets the underground wireless sensor network node fault diagnosis algorithm for fault location accuracy, low energy and high stability. At the end , this paper compares beteween common algorithm and the improved algorithm by computer simulation and verifies the advantage of the improved algorithm : less energy consumption, high precision, thus have a stronger ability to survive.