An Improved DV-Hop Algorithm for Intensive Wireless Sensor Network

LIU Li-jun; CHEN Zhi-kui

Chinese

您当前的位置：

首页 >

文章列表页 >

An Improved DV-Hop Algorithm for Intensive Wireless Sensor Network

更新时间：2026-09-04

- An Improved DV-Hop Algorithm for Intensive Wireless Sensor Network
- Vol. 27, Issue 7, Pages: 190-193(2010)
- 作者机构：
  
  大连理工大学软件学院,辽宁,大连,116023
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
刘丽君, 陈志奎. 一种适用于密集传感器网络中的DV-Hop改进算法[J]. 微电子学与计算机, 2010, 27(7): 190-193,197.

LIU Li-jun, CHEN Zhi-kui. An Improved DV-Hop Algorithm for Intensive Wireless Sensor Network[J]. 2010, 27(7): 190-193.
刘丽君, 陈志奎. 一种适用于密集传感器网络中的DV-Hop改进算法[J]. 微电子学与计算机, 2010, 27(7): 190-193,197. DOI：

LIU Li-jun, CHEN Zhi-kui. An Improved DV-Hop Algorithm for Intensive Wireless Sensor Network[J]. 2010, 27(7): 190-193. DOI：

摘要

提出一种基于Cluster管理的应用于密集网络的改进的DV-Hop算法CSDVH.通过实验数据的分析

相比较传统的DV-Hop算法和改进算法

在密集网络中

CSDVH算法通信代价很小O(3n)、误差较小;在稀疏网络中

CSDVH算法定位的精确度较高

比DV-Hop算法降低了10%.创新的提出了减小无线传感器网络定位能量消耗的方法并把CSDVH算法应用到移动的传感器网络中.

Abstract

This paper proposes a new improved DV-Hop algorithm

CSDVH (Cluster for Scalable DV-Hop) Cluster management and applicable in large-scale Wireless Sensor Network (WSN) . Through the analysis of experimental data

compared to DV-Hop and improved DV-Hop algorithm

In the dense network

CSDVH has less communication cost algorithm O (3n)

higher accuracy. In the sparsity network

the accuracy of CSDVH algorithm has increased 10% than DV-Hop algorithm. Moreover

in theory

the paper proposes two innovation ideas

which are clusters to save energy and CSDVH algorithm can be applied to mobile sensor network.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Simulation on the DC characteristics of double heterojunction p-GaN HEMT with AlN/GaN hybrid buffer layer

A feature-oriented context understanding and slice analysis network for tuberculosis detection

Research on the design of blockchain-based AI-generated content traceability framework

Monte carlo analysis of V-layout trench SiC neutron detector

High gain stability high temperature operational amplifier based on reverse body bias

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰