...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Future generation computer systems >WSN in cyber physical systems: Enhanced energy management routing approach using software agents
【24h】

WSN in cyber physical systems: Enhanced energy management routing approach using software agents

机译：网络物理系统中的WSN：使用软件代理的增强型能源管理路由方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recently, the cyber physical system has emerged as a promising direction to enrich the interactions between physical and virtual worlds. Meanwhile, a lot of research is dedicated to wireless sensor networks as an integral part of cyber physical systems. A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices that use sensors to monitor physical or environmental conditions. These autonomous devices, or nodes, combine with routers and a gateway to create a typical WSN system. Shrinking size and increasing deployment density of wireless sensor nodes implies the smaller equipped battery size. This means emerging wireless sensor nodes must compete for efficient energy utilization to increase the WSN lifetime. The network lifetime is defined as the time duration until the first sensor node in a network fails due to battery depletion. One solution for enhancing the lifetime of WSN is to utilize mobile agents. In this paper, we propose an agent-based approach that performs data processing and data aggregation decisions locally i.e., at nodes rather than bringing data back to a central processor (sink). Our proposed approach increases the network lifetime by generating an optimal routing path for mobile agents to transverse the network. The proposed approach consists of two phases. In the first phase, Dijkstra's algorithm is used to generate a complete graph to connect all source nodes in a WSN. In the second phase, a genetic algorithm is used to generate the best-approximated route for mobile agents in a radio harsh environment to route the sensory data to the base-station. To demonstrate the feasibility of our approach, a formal analysis and experimental results are presented.
机译：最近，网络物理系统已成为增加物理世界和虚拟世界之间相互作用的有前途的方向。同时，许多研究致力于无线传感器网络作为网络物理系统的组成部分。无线传感器网络（WSN）是由空间分布的自治设备组成的无线网络，这些设备使用传感器来监视物理或环境状况。这些自治设备或节点与路由器和网关结合在一起以创建典型的WSN系统。无线传感器节点尺寸的缩小和部署密度的增加意味着配备的电池尺寸更小。这意味着新兴的无线传感器节点必须竞争有效的能源利用，以延长WSN寿命。网络寿命定义为直到网络中的第一个传感器节点由于电池耗尽而失败的持续时间。延长WSN寿命的一种解决方案是利用移动代理。在本文中，我们提出了一种基于代理的方法，该方法可以在本地（即在节点处）执行数据处理和数据聚合决策，而不是将数据带回中央处理器（接收器）。我们提出的方法通过为移动代理生成横穿网络的最佳路由路径来延长网络寿命。拟议的方法包括两个阶段。在第一阶段，Dijkstra的算法用于生成完整的图，以连接WSN中的所有源节点。在第二阶段中，使用遗传算法为无线电恶劣环境中的移动代理生成最佳近似路线，以将感官数据路由到基站。为了证明我们方法的可行性，提出了正式的分析和实验结果。

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