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Distributed Policy-Based Management Framework for Wireless Sensor Networks.

机译:无线传感器网络的基于策略的分布式管理框架。

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摘要

Policy-Based Management Systems (PBMS) are becoming a critical component of any information technology environment, due to their ability to abstract hardware complexity from their users. Policy-based systems exist in such areas as data center management, security, privacy, and computer network management. The Wireless Sensor Network (WSN) is no exception, although implementation of policy-based management in a WSN is still in its infancy. Wireless Sensor Networks (WSNs) are particularly challenging due to many characteristics, such as a working environment that makes maintenance and support a challenge; a deployment scale of hundreds, if not thousands, of nodes; and constrained hardware resources. Memory, processing, and battery power are limited, making WSNs capable of handling only applications with limited resource requirements. Consequently, the implementation of policy-based management applications on WSNs has to tackle these characteristics of WSNs and take these limitations into consideration during the design phase. Therefore, due to hardware resource constraints, policy-based management applications on WSNs can store only a limited number of policies in the local memory of a sensor node and must recycle them when additional policies are required. This recycling process creates communication overhead on the network and requires a policy deployment mechanism. The communication overhead will logically reduce the lifetime of the sensor's batteries, and the policy's deployment mechanism dictates system limitations and capabilities. To tackle these challenges, a new distributed policy-based management framework named TinyPolicy has been devised, which can store, locate, access, and execute any policy in the WSN. This new framework uses a newly created policy deployment mechanism named PolicyP2P, which is designed to make the distributed policy-based management system more robust against node failure, eliminate the threat of single points of failure, and improve policy availability. More importantly, it will increase the total number of policies that can be deployed in the WSN, which will result in more manageable constraints or tasks.;Keywords: Distributed systems, Policy management, Distributed policy management, Wireless Sensor Network (WSN), PolicyP2P, TinyPolicy.
机译:基于策略的管理系统(PBMS)由于能够从用户中提取硬件复杂性,因此已成为任何信息技术环境的重要组成部分。基于策略的系统存在于数据中心管理,安全性,隐私和计算机网络管理等领域。无线传感器网络(WSN)也不例外,尽管WSN中基于策略的管理的实施仍处于起步阶段。无线传感器网络(WSN)由于具有许多特性而特别具有挑战性,例如使维护和支持成为挑战的工作环境;数百甚至数千个节点的部署规模;和受限的硬件资源。内存,处理和电池电量受到限制,这使得WSN只能处理资源需求有限的应用程序。因此,在WSN上基于策略的管理应用程序的实现必须解决WSN的这些特征,并在设计阶段考虑这些限制。因此,由于硬件资源的限制,WSN上基于策略的管理应用程序只能在传感器节点的本地内存中存储有限数量的策略,并且在需要其他策略时必须对其进行回收。这种回收过程会在网络上产生通信开销,并且需要策略部署机制。通信开销在逻辑上将减少传感器电池的寿命,并且策略的部署机制规定了系统限制和功能。为了解决这些挑战,已经设计了一个名为TinyPolicy的新的基于策略的分布式管理框架,该框架可以存储,定位,访问和执行WSN中的任何策略。这个新框架使用了一个名为PolicyP2P的新创建的策略部署机制,该机制旨在使基于策略的分布式管理系统对节点故障更加健壮,消除单点故障的威胁,并提高策略可用性。更重要的是,它将增加可在WSN中部署的策略总数,这将导致更易于管理的约束或任务。关键字:分布式系统,策略管理,分布式策略管理,无线传感器网络(WSN),PolicyP2P ,TinyPolicy。

著录项

  • 作者

    Qwasmi, Nidal.;

  • 作者单位

    University of Ontario Institute of Technology (Canada).;

  • 授予单位 University of Ontario Institute of Technology (Canada).;
  • 学科 Engineering Electronics and Electrical.;Engineering Computer.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 176 p.
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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