微机械传感器网络区域重叠节点优化调度方法研究  

Research on Optimal Scheduling Method of Overlapping Nodes in Micromachined Sensor Network Areas

作　　者：范珍珍[1] 黄小华[1] FAN Zhenzhen;HUANG Xiaohua(School of Artificial Intelligence,Jiangxi University of Technology,Nanchang Jiangxi 330098,China)

机构地区：[1]江西科技学院人工智能学院,江西南昌330098

出　　处：《传感技术学报》2022年第12期1707-1711,共5页Chinese Journal of Sensors and Actuators

基　　金：江西省教育厅科技项目(GJJ212005);江西省教育科学规划项目(21ZD083)。

摘　　要：微机械传感器网络中存在的区域重叠节点会导致节点失效性较高,存在节点覆盖率低、能耗高的问题。为此提出微机械传感器网络区域重叠节点优化调度方法,构建微机械传感器网络节点分配模型,采用解耦控制方法动态均衡各微机械传感器网络节点,通过组合加权值划分簇内节点布局重叠的区域,采用加权项的最小节点为簇首,缩短了簇内发送和接收信息的传播距离,以此减小节点能耗、提升了网络生存时间,实现微机械传感器网络区域重叠节点优化调度。仿真分析结果表明,该方法调度后微机械传感器网络节点的覆盖率平均在85%~90%之间、生存时间在50 min~55 min之间、在测试时间12 s时,节点两次抛洒、一次抛洒和均匀分布情况下区域重叠节点调度能耗分别为13μJ、15μJ及14μJ。The regional overlapping nodes in the MEMS sensor network will lead to high node failure,low node coverage and high energy consumption.To this end,an optimal scheduling method for overlapping nodes in a MEMS sensor network area is proposed,a node allocation model for a MEMS sensor network is constructed,and a decoupling control method is used to dynamically balance the nodes of each MEMS sensor network.The smallest node of the weighted term is used as the cluster head,which shortens the propagation distance of information sent and received in the cluster,reduces the node energy consumption,improves the network survival time,and realizes the optimal scheduling of overlapping nodes in the micromechanical sensor network area.The simulation analysis results show that the average coverage rate of MEMS sensor network nodes after scheduling is between 85%and 90%,the survival time is between 50 min to 55 min.When the test time is 12 s,under the siguation of twice thrown,once thrown,and evenly distributed the energy consumption values of different regional overlapping node scheduling methods are 13μJ,15μJ and 14μJ,respectively.

关 键 词：微机械传感器 节点调度 组合加权分簇 区域重叠节点 能耗控制 网络生存时间 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]