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Collision-free communication in sensor networks.

机译:传感器网络中的无冲突通信。

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摘要

Sensors networks are often constrained by limited power and limited communication range. If a sensor receives two messages simultaneously then they collide and both messages become incomprehensible. In this thesis, we present a simple time division multiple access (TDMA) algorithm for assigning time slots to sensors and show that it provides a significant reduction in the number of collisions incurred during communication. We present TDMA algorithms customized for different communication patterns that occur commonly in sensor networks. Our solution deals with several difficulties, e.g., unidirectional links, unreliable links, long links, failed sensors, sensors that are sleeping in order to save energy, and location errors. Our algorithms are self-stabilizing, i.e., TDMA is restored even if the system reaches an arbitrary state where the sensors are corrupted or improperly initialized. Further, we show that our algorithms ensure collision-freedom whereas collision-avoidance protocols like carrier sense multiple access (CSMA) suffer significant number of collisions. Moreover, as an application to our TDMA algorithms, in this thesis; we present transformation algorithms for the sensor network model of computation, called, write-all-with-collision model. Using the transformation algorithms, we transform programs written in this model into programs in other models considered in the literature, and vice versa.
机译:传感器网络通常受功率和通信范围的限制。如果传感器同时接收到两个消息,则它们会发生冲突,并且两个消息都变得令人费解。在本文中,我们提出了一种简单的时分多址(TDMA)算法,用于将时隙分配给传感器,并表明该算法可显着减少通信过程中发生的冲突数量。我们介绍了针对传感器网络中常见的不同通信模式而定制的TDMA算法。我们的解决方案解决了一些困难,例如单向链接,不可靠的链接,长链接,传感器故障,正在休眠以节省能源的传感器以及位置错误。我们的算法是自稳定的,即即使系统达到传感器损坏或初始化不正确的任意状态,TDMA也会恢复。此外,我们证明了我们的算法可确保无冲突,而诸如载波侦听多路访问(CSMA)之类的避免冲突协议会遭受大量冲突。此外,本文将其作为TDMA算法的一个应用。我们提出了用于传感器网络计算模型的转换算法,称为“所有冲突记录模型”。使用转换算法,我们可以将在此模型中编写的程序转换为文献中考虑的其他模型中的程序,反之亦然。

著录项

  • 作者

    Arumugam, Umamaheswaran.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2003
  • 页码 121 p.
  • 总页数 121
  • 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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