• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Parallel and Distributed Computing >Application-aware integration of data collection and power management in wireless sensor networks
【24h】

Application-aware integration of data collection and power management in wireless sensor networks

机译：无线传感器网络中应用程序感知的数据收集和电源管理集成

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

Sensors are typically deployed to gather data about the physical world and its artifacts for a variety of purposes that range from environment monitoring, control, to data analysis. Since sensors are resource constrained, often sensor data is collected into sensor databases that reside at (more powerful) servers. A natural tradeoff exists between resources (bandwidth, energy) consumed and the quality of data collected at the server. Blindly transmitting sensor updates at a fixed periodicity to the server results in a suboptimal solution due to the differences in stability of sensor values and due to the varying application needs that impose different quality requirements across sensors. In order to adapt to these variations while at the same time optimizing the energy consumption of sensors, this paper proposes three different models and corresponding data collection protocols. We analyze all three models with a Markov state machine formulation, and either derive closed forms for the operation point of the data collection application or suggest algorithms for estimating this operating point to achieve a minimal energy consumption. We observe that the operating point depends on environmental characteristics and application quality requirements, which the proposed algorithms aim to accommodate. Our experimental results show significant energy savings compared to the naive approach to data collection.
机译：通常部署传感器来收集有关物理世界及其工件的数据，用于从环境监视，控制到数据分析的各种目的。由于传感器受到资源的限制，因此经常将传感器数据收集到驻留在（功能更强大）服务器上的传感器数据库中。在消耗的资源（带宽，能量）和服务器收集的数据质量之间存在自然的折衷。以固定的周期盲目地将传感器更新发送到服务器会导致解决方案不理想，这是由于传感器值的稳定性不同以及应用程序需求的变化（对传感器的质量要求不同）所致。为了适应这些变化，同时优化传感器的能耗，本文提出了三种不同的模型和相应的数据收集协议。我们使用马尔可夫状态机公式分析所有这三个模型，或者为数据收集应用程序的操作点导出封闭形式，或者建议用于估计此操作点的算法以实现最低能耗。我们观察到，工作点取决于环境特征和应用程序质量要求，所提出的算法旨在满足这些要求。与单纯的数据收集方法相比，我们的实验结果表明可节省大量能源。

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