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Coverage-conscious connectivity restoration in mobile sensor networks.

机译:移动传感器网络中具有覆盖意识的连接性恢复。

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摘要

Mobile sensor networks rely heavily on inter-sensor connectivity for collection of data. Nodes in these networks monitor different regions of an area of interest and collectively present a global overview of monitored activities. Since failure of a sensor leads to loss of connectivity it may cause a partitioning of the network. A number of approaches have been proposed that pursue node relocation to restore connectivity. However, these approaches tend to ignore the possible loss of coverage in some areas, either due to the failure itself or due to their connectivity-limited focus. The thesis opts to address the connectivity and coverage concerns in an integrated manner. A novel Coverage Conscious Connectivity Restoration (C3R) algorithm is presented. C3R involves neighbors of the failed node to recover from the failure. Each neighbor temporarily relocates to substitute the failed node, one at a time, and then returns back to its original location. This leads to intermittent connectivity and monitoring of all the originally covered spots. This thesis also presents Energy-Centric optimized Recovery algorithm (ECR), an optimized version of C3R that is geared for energy efficiency. Both C3R and ECR are validated through simulation.
机译:移动传感器网络在很大程度上依赖于传感器之间的连接来收集数据。这些网络中的节点监视感兴趣区域的不同区域,并共同显示受监视活动的全局概览。由于传感器故障会导致连接断开,因此可能会导致网络分区。已经提出了许多寻求节点重定位以恢复连接性的方法。但是,这些方法往往会忽略由于故障本身或由于连接受限而引起的某些区域的覆盖可能丢失。本文选择以集成的方式解决连接性和覆盖范围的问题。提出了一种新颖的覆盖意识连接恢复(C3R)算法。 C3R涉及故障节点的邻居以从故障中恢复。每个邻居临时重新放置以替换故障节点,一次替换一个,然后返回其原始位置。这将导致间歇性连接并监视所有最初覆盖的位置。本文还介绍了以能量为中心的优化恢复算法(ECR),这是针对能源效率而优化的C3R版本。 C3R和ECR均通过仿真进行了验证。

著录项

  • 作者单位

    University of Maryland, Baltimore County.;

  • 授予单位 University of Maryland, Baltimore County.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2009
  • 页码 56 p.
  • 总页数 56
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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