铁路道口无人监控的WSN应用研究

为减少铁路道口行车事故，基于对火车行进中振动信号的检测，研究了无线传感器网络新技术在道口无人监控系统中的应用。提出了分簇的多跳汇聚树路由算法，用以减少参与网络运行的结点个数，节约全网能量；使用了振动信号数据融合机制，实现数据处理精度的提高。在IRIS结点和MTS400CB传感器板上进行系统设计，利用MIB520网关实现了无线网和有线网之间的桥接。仿真结果表明该系统合理，减少了结点能耗，能够延长系统寿命。

Application research of WSN in unattended supervising railway crossroad

In order to reduce number of accidents happening in railway crossroad，application of WSN（wireless sensor network） is researched based on detection of vibration signal of running train.Clustering multi-hop tree-like routing algorithm is proposed to curtail number of nodes participating in network，and further save whole-network energy；vibration signal aggregation mechanism is used to get high data processing accuracy.Exploiting IRIS mote and MTS400CB sensor-board supervising system is designed and bridging function is realized between wireless network and wired network.Simulation results show that the system is reasonable and reduce energy consumption of nodes，and as well can prolong lifetime of system.