| 刘志敏,贾维嘉,王国军.有向传感器网络覆盖预测模型与数量估计.软件学报,2016,27(12):3120-3130 |
| 有向传感器网络覆盖预测模型与数量估计 |
| Coverage Prediction Model and Number Estimation for Directional Sensor Networks |
| 投稿时间：2015-07-14 修订日期：2015-11-02 |
| DOI：10.13328/j.cnki.jos.004949 |
| 中文关键词: 有向传感器网络 网络覆盖率 覆盖控制 感知区域 节点预测 |
| 英文关键词:directional sensor network coverage coverage control sensing range node prediction |
| 基金项目:国家自然科学基金（61272151，61472451，61532013） |
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| 摘要点击次数: 1172 |
| 全文下载次数: 1353 |
| 中文摘要: |
| 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. |
| 英文摘要: |
| 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. |
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