一种无线传感网络中的时空事件检测方法  

A Spatio-Temporal Event Detection Approach for Wireless Sensor Network

作　　者：郑志平[1] 胡圣波[1] 舒恒[1] 

机构地区：[1]贵州师范大学智能信息处理研究所,贵州贵阳550001

出　　处：《计算机仿真》2010年第8期114-117,共4页Computer Simulation

基　　金：贵州科技资金项目([2009]2127)

摘　　要：在无线网络检测优化问题的研究中,事件检测是无线传感网络的主要任务。事件往往表现出复杂的时空关系。无线传感网络的事件检测大都单独局限于时间或空间域的推理和学习,事件检测准确率不高。为解决上述问题,在论述时空事件的基础上,提出了一种动态条件随机场(DCRF)的时空事件模型,采用一种基于信任传播(Belief Propagation)的时空事件检测方法。进行仿真结果表明,时空事件检测方法,在检测准确率、召回率、F1分值等性能优于马尔可夫随机场(MRF)的检测方法和贝叶斯网(DBN)检测方法。同时,所采用方法处理耗时短,适用于无线传感网络环境。Spatio-temporal event detection is one of major tasks in wireless sensor network.Despite much progress in this area,most of the existing works on event detection have been restricted to inference in the spatial or the temporal dimensions separately,while the challenge of integrating spatial and temporal constraints has not been addressed.Based on describing a spatio-temporal event,a spatio-temporal model based on dynamic conditional random field is given and an algorithm for spatio-temporal event detecting is presented in this paper.Simulation results show that the performance of the presented algorithm is better than the algorithm based on Markov random field,and the presented algorithm is suited for wireless sensor network.

关 键 词：时空事件 检测 动态条件随机场 无线传感网络 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]