摘要
针对无线传感器网络中感知数据高度冗余、网络能量不均衡等问题,提出一种基于数据相似度的节点休眠调度策略(N3SDS)。N3SDS利用不同子周期采集的感知数据间的相似度构造模糊等价矩阵,根据节点邻居表与相似度阈值的聚类标准进行聚类分析得到冗余节点。为避免感知盲区,针对冗余节点的不同聚类情况综合考虑节点的相对位置及剩余能量,进一步筛选出休眠节点并进行休眠调度,从而减少冗余数据收集。仿真结果表明,与ESSM和SSTBC相比,N3SDS的网络寿命分别延长了28.2%和72.4%,数据准确度分别提高了5.4%和18.1%,有效地减少冗余数据收集,均衡节点能耗。
A node-sleeping schedule strategy based on data similarity(N3SDS)is proposed,which aims at the problems of high redundancy in perceived data and imbalance in network energy for wireless sensor networks.N3SDS constructs a fuzzy equivalence matrix based on the similarity between perceived data collected in different sub-periods,and obtains redundant nodes according to clustering analysis on the neighbor table of nodes and the similarity threshold.In order to avoid blind area for perceived data,the relative position and residual energy are considered for different clustering scenarios,which will further screen out nodes to be put to sleep to avoid redundant data collection.Simulation results show that N3SDS extends the network lifetime by 28.2%and 72.4%compared to networks using ESSM and SSTBC,respectively.In addition,data accuracy is increased by 5.4%and 18.1%compared to ESSM and SSTBC,respectively,which shows effective reduction in redundant data collection and balanced energy consumption for nodes.
作者
李伟
任秀丽
LI Wei;REN Xiuli(College of Information,Liaoning University,Shenyang 110036,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2019年第12期1881-1888,共8页
Chinese Journal of Sensors and Actuators
基金
辽宁省教育厅项目(LYB201617)
辽宁省自然科学基金项目(201202089)
关键词
无线传感器网络
数据相似度
聚类分析
休眠调度
wireless sensor network
data similarity
clustering analysis
sleeping schedule
