Improved routing protocol for WSNs based on Cuckoo Search

WANG Xu; ZHANG Xi-huang

doi:10.13873/J.1000-9787(2016)07-0045-03

Chinese

您当前的位置：

首页 >

文章列表页 >

Improved routing protocol for WSNs based on Cuckoo Search

更新时间：2025-09-11

- Improved routing protocol for WSNs based on Cuckoo Search
- Vol. 35, Issue 7, Pages: 45-47(2016)
- 作者机构：
  
  江南大学物联网工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)07-0045-03
  CLC： TN915.04;TP212.9
- Published：2016
- 稿件说明：
移动端阅览
[1]王旭,张曦煌.基于布谷鸟搜索算法的无线传感器网络改进路由协议[J].传感器与微系统,2016,35(07):45-47.

WANG Xu, ZHANG Xi-huang. Improved routing protocol for WSNs based on Cuckoo Search[J]. 2016, 35(7): 45-47.
[1]王旭,张曦煌.基于布谷鸟搜索算法的无线传感器网络改进路由协议[J].传感器与微系统,2016,35(07):45-47. DOI： 10.13873/J.1000-9787(2016)07-0045-03.

WANG Xu, ZHANG Xi-huang. Improved routing protocol for WSNs based on Cuckoo Search[J]. 2016, 35(7): 45-47. DOI： 10.13873/J.1000-9787(2016)07-0045-03.

摘要

为了解决无线传感器网络（WSNs）能量消耗不均衡

网络生存时间短的问题

在研究了几种现有路由协议基础上

提出一种基于LEACH协议改进的簇间多跳路由协议。该协议引入能量因子、密度因子和距离因子

修正了LEACH协议的阈值函数

并结合布谷鸟搜索算法对簇头集合进行了优化

同时提出新的路由机制

在簇头采用多跳方式和Sink节点进行数据通信。模拟实验表明:相比于LEACH协议

提出的新协议可以有效地均衡网络节点能量

延长网络生命周期。

Abstract

In order to solve problem of unbalanced energy consumption of wireless sensor networks（ WSNs）

and short lifetime of networks

on the basis of studies on several existing routing protocol based on LEACH protocol

propose an inter-cluster multi-hop routing protocol based on LEACH protocol. The protocol introduces energy factor

density factor and distance factor to correct threshold function for LEACH protocol and optimize cluster head set combined with Cuckoo Search

and also propose a new routing mechanism

cluster head nodes communicate with Sink node by multi-hop mode. Simulation results show that

compared with LEACH protocol

the new proposed protocol can balance effectively energy consumption of network nodes

and prolong network lifecycle.

关键词

Keywords

references

基于布谷鸟算法的WSN节点定位研究 [J]. 王小辉,李圣普,吕海莲. 计算机技术与发展 . 2014(12)

基于LEACH的能量节省路由协议的研究 [J]. 郦元宏,张卫强,潘小龙. 无线电通信技术 . 2014(05)

一种小规模多种群布谷鸟算法 [J]. 郑巧燕,莫愿斌,刘付永,马彦追. 计算机应用与软件 . 2014(10)

基于能量和距离加权的WSNs簇头选择算法 [J]. 王进,邵玉斌,龙华,杜庆治. 传感器与微系统 . 2014(05)

受限节点的WSNs非均匀分簇算法应用研究 [J]. 韩进,陈树. 传感器与微系统 . 2014(02)

基于蚁群的无线传感器网络双簇头算法 [J]. 苏淼,钱海,王煦法. 计算机工程 . 2008(13)

Wireless sensor networks: a survey [J] . I.F. Akyildiz,W. Su,Y. Sankarasubramaniam,E. Cayirci. Computer Networks . 2002 (4)

Views

133

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

LEACH extremum double cluster head clustering method based on CS algorithm

Nodes layout optimization of WSNs in dam corridor

An efficient and energy-saving clustering routing algorithm for WSNs

Uneven clustering routing protocol based on dynamic competition radius for WSNs

Wavelet threshold de-noising algorithm based on new threshold function

Related Author

ZHANG Pin

WU Hui

LI Fengling

ZHOU Yi

XU Meng

CHEN Juan

LI Gui-juan

SHI Zhi-gang

Related Institution

School of Communication Engineering,Hangzhou Dianzi University

National Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology,Hunan University of Science and Technology

School of Geoscience and Environmental Engineering,Central South University

College of Automobile & Mechanical Engineering,Changsha University of Science & Technology

College of Physics and Electronic Information,Anhui Normal University

⁰