面向移动目标的WSN单个检测模式覆盖问题  

Coverage of mobile target-oriented single-detection mode in wireless sensor networks

作　　者：邹学玉[1] 曹阳[1] 刘徐迅[1] 唐宛[1] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430072

出　　处：《华中科技大学学报（自然科学版）》2008年第4期24-28,共5页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60132030);国家高技术研究发展计划资助项目(2004AA639690);高等学校博士学科点专项科研基金资助项目(20040486049)

摘　　要：基于能量暴露模型,分析了环境噪声、传感器和被测移动目标物理参数节点检测半径的影响,提出了一种大规模无线传感器网络(WSN)在二维平面上节点归一化密度的三角形分析模型(TAM).以检测概率为覆盖性能评价指标,采用归一化分析方法,用TAM分析了归一化路径长度小于1时归一化密度与单个检测模式的检测概率关系,得到了最坏情况下节点归一化临界密度上限.仿真实验结果表明归一化临界密度可较为准确地由检测概率和归一化路径长度确定,可为大规模无线传感器网络的传感器参数选择和部署提供参考.The effects of environmental noise, target and sensor characteristics on sensing radius were evaluated based on energy exposure model. A triangular analytical model （TAM） is proposed to analyze the normalized node density （NND） for coverage in a 2-dimensional region in large-scale wireless sensor networks （WSN）. Taking the detection probability as coverage evaluating index and using normalization analysis method, the single detection probability is studied for a certain NND on the condition of normalized path length （NPL） no more than 1, and the upper bounds on the node normalized critical density threshold （NNCDT） in worst case is derived also. The simulations show that the NNCDT could be exactly determined by a certain detection probability and the NPL for detecting a mobile target. These results can provide references for sensor＇s measurement period and decision threshold selection strategies, and sensor nodes deployment in large-scale WSN.

关 键 词：无线传感器网络 覆盖 三角分析模型 节点归一化临界密度 目标检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]