【24h】

Intelligent Fluid Infrastructure for Embedded Networks

机译:嵌入式网络的智能流体基础架构

获取原文
获取原文并翻译 | 示例

摘要

Computer networks have historically considered support for mobile devices as an extra overhead to be borne by the system. Recently however, researchers have proposed methods by which the network can take advantage of mobile components. We exploit mobility to develop a fluid infrastructure: mobile components are deliberately built into the system infrastructure for enabling specific functionality that is very hard to achieve using other methods. Built-in intelligence helps our system adapt to run time dynamics when pursuing pre-defined performance objectives. Our approach yields significant advantages for energy constrained systems, sparsely deployed networks, delay tolerant networks, and in security sensitive situations. We first show why our approach is advantageous in terms of network lifetime and data fidelity. Second, we present adaptive algorithms that are used to control mobility. Third, we design the communication protocol supporting a fluid infrastructure and long sleep durations on energy-constrained devices. Our algorithms are not based on abstract radio range models or idealized unobstructed environments but founded on real world behavior of wireless devices. We implement a prototype system in which infrastructure components move autonomously to carry out important networking tasks. The prototype is used to validate and evaluate our suggested mobility control methods.
机译:历史上,计算机网络将对移动设备的支持视为系统要承担的额外开销。然而,最近,研究人员提出了网络可以利用移动组件的方法。我们利用移动性来开发流畅的基础架构:将移动组件故意内置到系统基础架构中,以实现使用其他方法很难实现的特定功能。当追求预定的性能目标时,内置的智能功能可以帮助我们的系统适应运行时动态。我们的方法在能源受限的系统,稀疏部署的网络,延迟容忍的网络以及对安全敏感的情况下具有明显的优势。我们首先说明为什么我们的方法在网络寿命和数据保真度方面具有优势。其次,我们提出了用于控制移动性的自适应算法。第三,我们设计了通信协议,该协议在能量受限的设备上支持流畅的基础结构和长睡眠时间。我们的算法不是基于抽象的无线电距离模型或理想的通畅环境,而是基于无线设备的实际行为。我们实现了一个原型系统,在该系统中,基础结构组件可以自动移动以执行重要的联网任务。该原型用于验证和评估我们建议的移动性控制方法。

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