基于低能耗自适应的水下传感器网络定位算法

张敏; 穆天圆; 乔学工

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基于低能耗自适应的水下传感器网络定位算法

更新时间：2026-09-04

- 基于低能耗自适应的水下传感器网络定位算法
- Localization Algorithm in Underwater Sensor Networks Based on Low-energy Self-healing
- 微电子学与计算机 2016年33卷第3期页码：107-110
- 作者机构：
  
  太原理工大学信息工程学院,山西,太原,030024
- 作者简介：
- 基金信息：
  
  国家自然科学基金 51279122山西省自然基金 2012011013-5山西省软科学研究项目 2014041048-4
- DOI：
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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张敏, 穆天圆, 乔学工. 基于低能耗自适应的水下传感器网络定位算法[J]. 微电子学与计算机, 2016, 33(3): 107-110.

ZHANG Min, MU Tian-yuan, QIAO Xue-gong. Localization Algorithm in Underwater Sensor Networks Based on Low-energy Self-healing[J]. 2016, 33(3): 107-110.
张敏, 穆天圆, 乔学工. 基于低能耗自适应的水下传感器网络定位算法[J]. 微电子学与计算机, 2016, 33(3): 107-110. DOI：

ZHANG Min, MU Tian-yuan, QIAO Xue-gong. Localization Algorithm in Underwater Sensor Networks Based on Low-energy Self-healing[J]. 2016, 33(3): 107-110. DOI：

摘要

在无线传感器网路的水下应用中

针对传统DV-Hop定位算法中锚节点能量消耗大

容易死亡这一问题

提出了一种基于低能耗自适应的定位算法(LSLA).该算法中

当锚节点能量小于设定阈值时执行LSLA算法

由此得出的一组普通节点集合来替代进行定位

从而可以减少自己的能量消耗

同时对初步定位结果进行了循环位置修正.仿真实验表明

LSLA算法可以有效地提高网络节点的定位精度和延长锚节点的存活时间.

Abstract

In underwater wireless sensor network application

to solve the problem that anchor nodes are likely to die faster than sensor nodes since their high energy consumption in traditional DV-Hop algorithm

an improved DV-Hop algorithm (LSLA) is proposed based on low-energy self-healing. This algorithm finds a set of sensor nodes to substitute for any anchor node when its energy is less than the threshold

while this algorithm corrects the results of the initial positioning in circle. The simulation results show that the improved algorithm can improve the positioning accuracy effectively and prolong the anchor nodes lifetime comparing with conventional DV-Hop algorithm.

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references

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王锦程, 李德识. 一种基于水声信道的无线传感器网络路由协议[J]. 传感技术学报, 2009, 22(1): 107-110. DOI: 107

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