基于传感器网络的重建具有时间关联性的随机场研究  

Research on Reconstruction of Random Fields with Time Correlation Based on Sensor Networks

作　　者：李勇燕 LI Yongyan(Shangyu Branch of Shaoxing University,Shaoxing,Zhejiang 312300,China)

机构地区：[1]绍兴文理学院,浙江绍兴312300

出　　处：《山东商业职业技术学院学报》2025年第1期109-112,共4页Journal of Shandong Institute of Commerce and Technology

基　　金：浙江省教育厅科研项目“高校视域下科普赋能乡村文旅产业高质量发展的路径研究”(Y202455407);绍兴文理学院科研项目“基于传感器网络的随机场重构问题研究”(2023SK005);绍兴文理学院教育教学改革研究项目“双视域下基于OBE的“学-练-赛”一体化教改探索——以高职《多媒体制作》课程为例”。

摘　　要：无线传感器网络常用于环境变量的收集与分析研究,如温度、压力、亮度等等。已有文献中已探讨使用有限个数的传感器节点,并且在具有最佳部署位置的传感器节点中传输测量值给融合中心。如果要再加强对整个系统的性能,则必须增加传感器数量、传输带宽和总体能源的消耗。在不增加传感器数量的情况下,考虑前后时间互有相关联的高斯随机场,采用新的过滤方式,减少传送相似的数据来达到节省能源的目的,最后由模拟结果分析来验证提出的方法。Wireless sensor networks are commonly used for collecting and analyzing environmental variables,such as temperature,pressure,brightness,and so on.Previous literature has explored the use of a limited number of sensor nodes and transmitting measurement values to the Fusion Center in the sensor nodes with the best deployment location.But if we want to further enhance the performance of the entire system,we must increase the number of sensors,transmission bandwidth,and overall energy consumption.This article considers Gaussian random fields with correlated time before and after,without increasing the number of sensors.A new filtering method is adopted to reduce the transmission of similar data to achieve energy savings.Finally,simulation results are analyzed to verify the proposed method.

关 键 词：传感器 融合中心 相关性随机场 均方差 过滤 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]