摘要
针对无线传感网中事件检测节点能量消耗过快和不均匀问题,提出了一种动态可调的能量感知事件检测算法AEEDA。该算法采用分布式判别和分簇思想将网络节点分成许多簇结构,簇首负责汇聚事件检测的数据。簇内事件区域检测是由簇首根据事件空间相关性进行判别;跨簇事件区域检测是相邻簇间簇首根据簇边界节点数据进行判别。算法运行过程中,根据簇首节点的能耗进行动态调整簇首,以平衡节点的能耗。实验结果表明所提算法在检测精度、能耗均衡性和生命周期方面具有优势。
Aiming at the problem that energy of nodes is consumed excessively and unevenly in event detection in WSNs,this paper presented a novel adjusted energy-aware event detection algorithm,called AEEDA.AEEDA divided nodes into many clusters based on distributed discriminant and clustering.The cluster head was responsible for aggregating the data of event detection.The event detection in the cluster was determined by the cluster head according to the spatial correlation of the event,and the event detection across the clusters was based on the data of the boundary nodes.When the algorithm is running,the cluster head is dynamically adjusted according to the energy consumption of the cluster head node to balance the energy consumption of the nodes.The experimental results show that the proposed algorithm has advantages in detection accuracy,energy consumption balance and life cycle.
作者
郭稳涛
何怡刚
GUO Wen-tao;HE Yi-gang(Hunan Mechanical&Electrical Polytechnic,Changsha 410151,China;College of Electrical and Automation Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2018年第9期101-105,共5页
Instrument Technique and Sensor
基金
国家杰出青年科学基金项目(50925727)
国防科技计划项目(C1120110004
9140A27020211DZ5102)
教育部科学技术研究重大项目(313018)
湖南省自然科学基金项目(2017JJ5028)
关键词
无线传感网络
事件监测
能量感知
分簇
wireless sensor network
event detection
energy aware
clustering