首页> Sensors (Basel, Switzerland)> An Effective Hybrid Routing Algorithm in WSN: Ant Colony Optimization in combination with Hop Count Minimization.

An Effective Hybrid Routing Algorithm in WSN: Ant Colony Optimization in combination with Hop Count Minimization.

导出 OA

翻译打印收藏纠错

第一作者： Ailian,Jiang

第一单位： Department of Computer Science, Taiyuan University of Technology, Taiyuan 030600, China. ailianjiang@126.com.

作者： Ailian,Jiang ^[1] ; Lihong,Zheng ^[2]

作者单位： Department of Computer Science, Taiyuan University of Technology, Taiyuan 030600, China. ailianjiang@126.com. ^[1] School of Computing and Maths, Charles Sturt University, Wagga Wagga, NSW 2678, Australia. lzheng@csu.edu.au. ^[2]

关键词 ant colony optimization (ACO)dynamic energy threshold strategy minimum hop count mutation strategy network lifetime network load balancing optimal path routing algorithm wireless sensor network (WSN)

DOI 10.3390/s18041020

PMID 29596336

发布时间 2018-11-14

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览15

Sensors (Basel, Switzerland)

2018年18卷4期

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览15

Sensors (Basel, Switzerland)

2018年18卷4期

检索历史清除

An Effective Hybrid Routing Algorithm in WSN: Ant Colony Optimization in combination with Hop Count Minimization.

Sensors (Basel, Switzerland)

相似文献

同项目论文

Sensors (Basel, Switzerland)

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

An Effective Hybrid Routing Algorithm in WSN: Ant Colony Optimization in combination with Hop Count Minimization.

Sensors (Basel, Switzerland)

相似文献

同项目论文

Sensors (Basel, Switzerland)

相关期刊

检索历史清除