【作者】 黄俊杰； 王汝传； 黄海平； 孙力娟；

【Author】 Huang Jun-J ie~(1,2),Wang Ru-Chuan~(1,2,3),Huang Hai-Ping~(1,2,3),Sun Li-Juan~(1,2,3) (1.College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China; 2.Professional Community of Information Security in Electronic Association of Jiangsu Province; 3.Institute of Computer Technology,Nanjing University of Posts and Telecommunications, Nanjing 210003,China)

【机构】 南京邮电大学计算机学院； 江苏省电子学会信息安全专委会； 南京邮电大学计算机技术研究所；

【摘要】 传统无线传感器网络最小暴露路径的研究主要是针对全向确定性模型的,然而有向概率性模型却更符合实际应用需求.例如,多媒体传感器网络就更适合于有向概率性模型.因此,本文首先建立了有向概率性的传感器模型,将最小曝光度的定义引入到该模型中,并针对该模型给出了一种搜索最小曝光路径的解决方案.在仿真实验中,通过对比主要参数对最小曝光路径的影响,说明本方案针对有向概率性模型得到的结果可较好的逼近于真实最小暴露路径.更多还原

【Abstract】 The traditional research on minimal exposure path(MEP) in wireless sensor networks(WSNs) is aimed at probabilistic sensing model,while directional sensing model is more appropriate for practical application like wireless multi-media sensor networks.Therefore,this paper first establishes a directional sensing model into which the definition of minimal exposure is introduced,and brings forward a solution on searching for minimal exposure path.In the simulation experiment,the comparison of the influence on MEP of main parameters illustrates that the result of this proposal aiming at directional sensing model makes a preferable approximation from the real MEP.更多还原