Details of Research Outputs

有向传感器网络由大量有向传感器节点组成,不同于有着全向感知范围的全向传感器网络,有向传感器网络的感知范围是一个扇形区域.研究了有向传感器网络的覆盖预测模型及数量估计问题.针对节点随机部署的应用环境,在初始部署网络时,为满足一定的覆盖率要求,在充分考虑了目标区域边界效应的基础上,提出了一种基于概率的网络覆盖预测模型.基于该模型,对初始部署的节点数目进行了预测.通过仿真实验,对结果进行了分析.结果表明:利用所提模型得到的理论值与实验真实值拟合较好,且更符合实际应用需求. 

Recently, directional sensor networks (DSN) have received a great deal of attention due to their wide range of applications. Unlike conventional omni-directional sensors that always have an omni-angle of sensing range, a DSN is composed of many directional sensors which have a limited angle of sensing range due to technical constraints or cost considerations. This paper studies coverage prediction and number estimation model for directional sensor networks. Aiming at better guiding initial deployment of DSN, a novel probability-based networks coverage prediction model with the boundary effects named PCPMB is proposed. Simulation results show that the proposed model outperforms the previous published model without boundary effect. © Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved.