摘要
针对传感器网络融合估计中由能量受限引发的通信资源受限问题,提出了一种基于多通道解耦的事件触发量测传输机制.单独设计各传感器输出分量的事件触发条件并给出了估计算法误差有界性的条件,在保证融合估计精度的同时,可一定程度上降低传感器网络数据传输量.与现有三种方法的对比仿真结果以及火力控制系统中的光电传感网络实例,表明了所提算法的有效性和工程应用的可行性.
This paper deals with the problem of the communication constraint caused by energy limitation on the sensor network fusion system. We propose a multi-channel decoupled event-triggered measurement transmission mechanism which is based on the designed event-triggered condition for each output component of each sensor separately. Meanwhile we propose the condition which guarantees the boundary of the estimation error. The algorithm proposed in this article ensures the accuracy of the fusion system while the data transmitted is reduced at each time instant. The effectiveness and the feasibility of the proposed mechanism is verified through the optic-electric sensor network experiment in the fire control system and the simulation for comparison between our method and three other techniques.
出处
《自动化学报》
EI
CSCD
北大核心
2017年第2期227-237,共11页
Acta Automatica Sinica
基金
国家自然科学基金(61104186
61273076)资助~~
关键词
集中式融合估计算法
多通道解耦事件触发机制
通信量频率
光电传感网络
Centralized fusion estimation algorithm, a multi-channel decoupled event-triggered mechanism, data trans-mission amount rate, the optic-electric sensor network
