基于数据融合的无线传感器网络林火监控算法

doi:10.11896/j.issn.1002-137X.2015.11.033

摘要/Abstract

摘要： 针对无线传感器网络在林火监控应用中存在的问题,提出了一种分层聚簇数据融合算法。簇内传感器节点使用加权平均法对原始数据进行数据级融合处理,以消除原始数据中的冗余成分,减少从簇内传感器节点到簇头节点的通信量；簇头节点采用D-S证据理论建立识别框架,通过对本簇成员的反馈信号进行决策级融合处理,提高了火灾事件的识别精度和网络的鲁棒性。实验结果表明,该算法能有效消除无线传感器网络的冗余数据,并能够在失效节点数不超过总节点数40%的情况下正确工作。

关键词: 林火监控,无线传感器网络,数据融合,加权平均法,D-S证据理论

Abstract: Aiming at the existing problems in the application of wireless sensor networks in forest fire monitoring,we proposed a hierarchical clustering data fusion algorithm.In-cluster sensor node uses the weighted average method to achieve data-level fusion of the raw data,which reduces the redundancy of raw data and the traffic from the in-cluster sensor nodes to the cluster head node.Then,we established a D-S evidence theory based recognition framework in the cluster head node.Through the decision-level fusion of the feedback signal of the cluster members,the recognition accuracy of fire event and robustness of the network are improved.The experimental results show that the algorithm can effectively eliminate redundant data in wireless sensor networks,and it can work correctly in the case that the number of faulty nodes does not exceed 40% of the total number of nodes.

Key words: Forest fire monitoring,Wireless sensor network,Data fusion,Weighted average method,D-S evidence theory

刘永星,赵涓涓,常晓敏. 基于数据融合的无线传感器网络林火监控算法[J]. 计算机科学, 2015, 42(11): 158-163. https://doi.org/10.11896/j.issn.1002-137X.2015.11.033

LIU Yong-xing, ZHAO Juan-juan and CHANG Xiao-min. Forest Fire Monitoring Algorithm Based on Wireless Sensor Network Data Fusion[J]. Computer Science, 2015, 42(11): 158-163. https://doi.org/10.11896/j.issn.1002-137X.2015.11.033

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