...
首页> 外文期刊>Pervasive and Mobile Computing >Analysis of stochastic coverage and connectivity in three-dimensional heterogeneous directional wireless sensor networks
【24h】

Analysis of stochastic coverage and connectivity in three-dimensional heterogeneous directional wireless sensor networks

机译:三维异构方向性无线传感器网络中的随机覆盖范围和连通性分析

获取原文
获取原文并翻译 | 示例
           

摘要

Coverage and connectivity are important factors that determine the quality of service of three-dimensional wireless sensor networks (3D WSNs) monitoring a field of interest (FoI). Most of the literature on the analysis of coverage and connectivity in 3D WSNs assumes the use of omni-directional sensors with spherical sensing regions. In this paper, we assume that the sensors are deployed uniformly at random in a FoI. We also consider a case when the sensors have only directional sensing capability and may have heterogeneity in terms of the sensing range, communication range, and/or probability of being alive. For such 3D heterogeneous directional WSNs, we derive probabilistic expressions for k-coverage and m-connectivity that are useful to optimize the cost of random deployment. We validate our analysis and demonstrate its benefits with numerical results. We also illustrate the application of this work for optimal design of a 3D heterogeneous directional WSN. (C) 2015 Elsevier B.V. All rights reserved.
机译:覆盖范围和连接性是决定监控关注领域(FoI)的三维无线传感器网络(3D WSN)服务质量的重要因素。有关3D WSN的覆盖范围和连通性分析的大多数文献都假定使用具有球形感应区域的全向传感器。在本文中,我们假设传感器在FoI中均匀地随机部署。我们还考虑了一种情况,即传感器仅具有方向感测能力,并且在感测范围,通信范围和/或存活概率方面可能具有异质性。对于此类3D异构定向WSN,我们导出了k覆盖率和m连接性的概率表达式,这些表达式可用于优化随机部署的成本。我们验证我们的分析,并通过数值结果证明其优势。我们还说明了这项工作在3D异构定向WSN优化设计中的应用。 (C)2015 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号