摘要
为了确保应用于工业控制领域的无线传感器网络(WSN)可靠性,从工业控制领域典型WSN实时性和可靠性特点出发,考虑常见软故障的重发机制,选择汇聚节点的备件数和重发次数为特征量,在定性分析基础上建立可靠性泛函模型,定量分析了备件数与重发次数对可靠性的影响,运用Markov链及概率分析法建立重发次数与通信时间及能耗之间的量化关系.并以应用于电力系统中WSN为例,对汇聚节点可靠性模型进行求解.结果表明,在汇聚节点通信实时性和能耗满足电力系统相应要求的情况下,若位差错率为0.2×10-3,重发次数为3且备件个数为2时,汇聚节点模型可靠性仍可达99.9%以上.
In order to ensure the reliability of wireless sensor network （WSN） applied in industrial con trol domain, regarding the retransmission mechanism of common soft fault, reliability functional model was established based on qualitative analysis by using spare parts number of sink node and retransmission times as characteristic quantities. Effects of spare parts number and retransmission times on the reliability were quantitatively analyzed. Quantitative relationships among retransmission times, communication time and energy consumption were built by Markov chains and probability analysis. The WSN in power system was taken as an example to seek solution for the reliability model of sink node. The results show that when the real-time of network transmission and node energy consumption meet the requirements of the power system, the reliability of sink node can reach over 99.9% with two spare parts and three retransmission time, even if the bit error rate is 0.2 x 10^-3.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2011年第3期320-324,共5页
Journal of Jiangsu University：Natural Science Edition
基金
国家"863"计划项目(2006AA10Z258)
关键词
可靠性模型
无线传感器网络
汇聚节点
备件
重发
reliability model
wireless sensor networks
sink node
spare parts
retransmission
