辽宁工程技术大学 机构 电气与控制工程学院,辽宁,葫芦岛,125105
纸质出版:2016
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张美金, 蔡鹏. 适于井下WSN节点的故障诊断算法研究[J]. 微电子学与计算机, 2016, 33(4): 152-156.
ZHANG Mei-jin, CAI Peng. Research on Node Failure Diagnosis Algorithms for Coal Mine Wireless Sensor Networks[J]. 2016, 33(4): 152-156.
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 be 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.
Chen Jinran, KHER Shubha, ARUN Somani. Distributed fault detection of wireless sensor networks[C]. Proc. of the ACM Int'1 Conf. on International Conference on Mobile Computing and Networking. New York: ACM Press, 2006: 65-72.
乔钢柱基于无线传感器网络的煤矿安全综合监控系统设计与关键技术研究[D]. 兰州: 兰州理工大学, 2012.
蒋鹏. 一种改进的DFD无线传感器网络节点故障诊断算法研究[J]. 传感技术学报, 2008, 21(8): 1417-1421. DOI: 1417
李蓉. 关于无线传感器网络在煤矿井下中的应用[J]. 煤炭技术. 2011(11): 68-71. DOI: 68
王俊, 刘刚. 基于时间序列和神经网络的温室传感器节点故障诊断[J]. 中国农业大学学报. 2011(6): 112-115. DOI: 112
刘凯, 彭力. 分簇式无线传感器网络节点故障诊断算法研究[J]. 传感器与微系统, 2011, 30(4): 37-41. DOI: 37
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