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Towards a holistic approach for protocol development in sensor networks.

机译:迈向传感器网络协议开发的整体方法。

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摘要

Technological advances in VLSI, MEMS, and wireless communication have ushered in a new age of miniature, low cost, low-energy, micro-sensors. Networks of such devices, called Wireless Sensor Networks (WSNs), promise to revolutionize sensing across a range of civil, scientific, military and industrial applications. The potentially high impact of this technology and the complex challenges it poses have spurred intense interest in the research, military and commercial communities. However, sensors often have limited energy, computational ability, and storage capacity. Therefore protocols that manage the different aspects of the sensors' operation in terms of collecting and processing data, as well as support services such as localization and synchronization have to be developed and must work efficiently within the constraints of the limited available resources---this is an extremely challenging task.; The first contributions of our research are in developing application-specific, light-weight, energy efficient protocols for various critical sensor subsystems and services including: information dissemination, storage management, and localization. Based on experiences with these diverse applications, subsystems and services, we represent the basic sensor network design goal as a balance between the application-level utility of operations and the cost of operations in terms of resources. Quantifying these values (utility and cost) allows sensor nodes to determine how to carry out decisions (data collection and dissemination, as well as services related operations) most effectively at each sensor. However, the local estimate of utility and resource cost may not be accurate when considered globally. As a result, we have also introduced the concept of context, which represents some globally available information that has significant influence on the local estimate of either utility or resource cost. We formalize these ideas and investigate the challenges in applying them in a real sensor network system. We call this approach a Holistic Approach for Protocol Design in Sensor Networks.; Implementing the holistic approach requires a novel abstraction that explicitly exposes the cost and utility of operations so the estimated benefit of a decision can be compared against its cost. To that end, we propose a novel file system based abstraction for sensor networks that has several desirable properties for both system developers and application developers. A key feature of this abstraction is namespaces, which lets applications organize sensor networks in an application-specific manner; we advocate a standard resource namespace that exposes resource information, such as the available energy or storage space on a given sensor node, to the application. We demonstrate how a range of canonical sensor network applications can be built around the concept of namespace to provide richer yet resource efficient interfaces to sensor network users. Finally, we developed a scalable energy-efficient resource discovery framework so that heterogeneous sensors can discover resources in a platform independent manner.
机译:VLSI,MEMS和无线通信的技术进步已经进入了微型,低成本,低能耗,微型传感器的新时代。这种设备的网络称为无线传感器网络(WSN),有望在一系列民用,科学,军事和工业应用中彻底改变传感技术。这项技术的潜在巨大影响及其带来的复杂挑战引起了研究界,军事界和商业界的强烈兴趣。但是,传感器通常具有有限的能量,计算能力和存储容量。因此,必须开发在收集和处理数据方面管理传感器操作不同方面的协议以及诸如本地化和同步之类的支持服务,并且必须在有限的可用资源的限制内有效地工作-是一项极富挑战性的任务。我们的研究的第一项贡献是为各种关键传感器子系统和服务开发了针对特定应用,轻便,节能的协议,包括:信息传播,存储管理和本地化。基于这些多样化的应用程序,子系统和服务的经验,我们将基本的传感器网络设计目标表示为应用程序级别的运营效用与运营成本(在资源方面)之间的平衡。量化这些值(效用和成本)可以使传感器节点确定如何在每个传感器上最有效地执行决策(数据收集和分发以及与服务相关的操作)。但是,从全球范围考虑,对公用事业和资源成本的本地估计可能并不准确。因此,我们还引入了上下文的概念,它表示一些可全局获得的信息,这些信息对公用事业或资源成本的本地估计有重大影响。我们将这些想法形式化,并研究在实际的传感器网络系统中应用它们所面临的挑战。我们称这种方法为传感器网络协议设计的整体方法。实施整体方法需要一种新颖的抽象,该抽象明确暴露了操作的成本和效用,因此可以将决策的估计收益与其成本进行比较。为此,我们提出了一种新颖的基于传感器网络的文件系统抽象,它对系统开发人员和应用程序开发人员都具有一些理想的属性。这种抽象的一个关键特性是名称空间,它使应用程序可以按照特定于应用程序的方式来组织传感器网络。我们提倡使用标准资源名称空间,该名称空间向应用程序公开资源信息,例如给定传感器节点上的可用能量或存储空间。我们演示了如何围绕命名空间的概念构建一系列规范的传感器网络应用程序,以为传感器网络用户提供更丰富而资源高效的接口。最后,我们开发了可扩展的节能资源发现框架,以便异构传感器可以以独立于平台的方式发现资源。

著录项

  • 作者

    Tilak, Sameer.;

  • 作者单位

    State University of New York at Binghamton.;

  • 授予单位 State University of New York at Binghamton.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 295 p.
  • 总页数 295
  • 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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