Distance-assistant node coverage identification model for wireless sensor networks

FAN Gao-juan1; SUN Li-juan1; WANG Ru-chuan1; HUANG Hai-ping1

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Distance-assistant node coverage identification model for wireless sensor networks

更新时间：2024-10-14

- Distance-assistant node coverage identification model for wireless sensor networks
- Vol. 31, Issue 8, Pages: 127-133(2010)
- 作者机构：
  
  1. 南京邮电大学计算机学院
  2. 南京大学计算机软件新技术国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5;TP212.9
- Published：2010
- 稿件说明：
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FAN Gao-juan1, SUN Li-juan1, WANG Ru-chuan1, et al. Distance-assistant node coverage identification model for wireless sensor networks[J]. 2010, 31(8): 127-133.
DOI：

FAN Gao-juan1, SUN Li-juan1, WANG Ru-chuan1, et al. Distance-assistant node coverage identification model for wireless sensor networks[J]. 2010, 31(8): 127-133. DOI：

摘要

提出了距离辅助的节点覆盖判别模型DANCI(distance-assistant node coverage identification model)

通过邻居节点到本节点的距离信息

判别该节点被邻居节点覆盖的程度。理论分析与仿真结果表明

在节点随机部署情况下

计算所得的覆盖度与节点位置已知情况下

其覆盖度的最大误差仅为6.396 0%。相对于邻居节点个数与最近邻居距离覆盖判别方法

极大提高了覆盖判别的精确性。

Abstract

A distance-assistant node coverage identification model was proposed which adopts distance information be-tween the node and its neighbors to identify nodes coverage without using any location information.Theory analysis and simulation results are presented to evaluate the proposed DANCI model.It is shown that in randomly deployed sensor networks

the maximum error between DANCI model and location information-aware strategy is 6.396 0%

and the nodes coverage accuracy improves significantly compared to neighbor number-based scheme and nearest neighbor-based scheme.

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