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Algorithms for resource utilization in sensor networks.

机译:传感器网络中资源利用的算法。

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摘要

Wireless sensor networks are being envisioned for various civil, military and environmental monitoring applications. Since they are highly resource constrained, algorithms and protocols are designed to minimize resources. Minimizing the resources consumed for different protocols usually leads to degradation in the performance provided in terms of the application requirements. For mission critical applications, we sometimes need to provide guarantees even at the cost of extra overhead. Thus, efficient and intelligent use of resources rather than minimization of resource consumption should be the major focus in sensor network research. This is the primary theme of this thesis. We divide different protocols under two major categories, namely sensor data dissemination and network management and propose adaptive algorithms with the aim of maximizing resource utilization in sensor networks.; For the data dissemination problem, we show that providing different levels of assurances (reliability, latency etc.) in data delivery based on the information content in the sensed data is critical for proper utilization of resources. For the network management problem we consider two important functions: network state retrieval and topology control. We show that retrieving the network state at different levels of resolution and adaptively controlling the topology based on the current network conditions, application characteristics leads to a more prudent approach while conserving resources. I.e. we shift the algorithm design paradigm from an unconstrained optimization problem (the fixed schemes which aggressively minimize resource consumption) to optimization under application constraints. We propose adaptive algorithms for both the data dissemination and the network management problems which exploit the fundamental tradeoffs between resource consumption and protocol performance. The algorithms are not only more efficient in the resources they consume, but more importantly are also aware of the requirements of the applications they are designed for.
机译:无线传感器网络正在构想用于各种民用,军事和环境监测应用。由于它们受到资源的高度限制,因此设计了算法和协议以最大程度地减少资源。最小化为不同协议消耗的资源通常会导致根据应用程序要求提供的性能下降。对于关键任务应用程序,有时甚至需要以额外开销为代价提供保证。因此,有效和智能地使用资源而不是最小化资源消耗应成为传感器网络研究的主要重点。这是本文的主要主题。我们将不同的协议分为两大类,即传感器数据分发和网络管理,并提出了自适应算法,目的是最大限度地提高传感器网络中的资源利用率。对于数据分发问题,我们表明基于感测数据中的信息内容,在数据传递中提供不同级别的保证(可靠性,等待时间等)对于正确利用资源至关重要。对于网络管理问题,我们考虑两个重要功能:网络状态检索和拓扑控制。我们表明,以不同的分辨率级别检索网络状态并根据当前网络状况自适应地控制拓扑,应用程序特征导致在节省资源的同时采取更为谨慎的方法。即我们将算法设计范式从无约束的优化问题(积极地将资源消耗最小化的固定方案)转变为在应用程序约束下进行优化。我们提出了针对数据分发和网络管理问题的自适应算法,这些算法利用了资源消耗和协议性能之间的基本权衡。这些算法不仅在消耗资源方面更加高效,而且更重要的是,还意识到了针对这些应用程序设计的需求。

著录项

  • 作者

    Deb, Budhaditya.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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