摘要
信息融合是传感器网络中的关键技术之一,传感器网络具有节点部署密度大、节点信息冗余严重等特点,为了更好的消除传感器节点之间的信息冗余,加快信息的传输速度,提出一种Vague集的传感器信息融合方法。首先对当前传感器信息融合研究现状进行分析,然后利用Vague集计算传感器节点采集信息之间的相似度,并通过阈值去除冗余信息,最后采用仿真实验对信息融合的有效性和可靠性进行分析。实验结果表明,本文方法可以减少基站节点的信息传输量,整个传感器网络能耗得以降低,而且各项性能指标均要优于传统传感器信息融合方法。
Information fusion is a key technology in sensor networks,sensor network has the characteristics of high node deployment density,redundant information redundancy,and so on,in order to eliminate the information redundancy among sensor nodes and speed up the transmission speed of information,a new method of sensor information fusion based on vague sets is proposed.Firstly,the current status of sensor information fusion is analyzed,and then the similarity among sensor nodes is calculated by vague set to remove the redundancy information by threshold,lastly,the validity and reliability of the information fusion are analyzed by simulation experiments.Experimental results show that the proposed method can reduce the information transmission capacity of base station nodes,and the energy consumption of the whole sensor network can be reduced,and the various performance indicators are better than the traditional sensor information fusion method.
出处
《激光杂志》
北大核心
2016年第2期134-136,共3页
Laser Journal
基金
海南省高校科研项目(HJKJ2013-43)
关键词
无线传感器
信息融合
模糊集
数据传输量
wireless sensor
information fusion
fuzzy set
data transmission capacity
