Research on improved ACO-based routing for wireless sensor networks

SHANG Xing-hong; QIAN Huan-yan; GAO De-min

doi:10.13873/j.1000-97872012.09.019

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Research on improved ACO-based routing for wireless sensor networks

更新时间：2025-09-11

- Research on improved ACO-based routing for wireless sensor networks
- Vol. 31, Issue 9, Pages: 36-38(2012)
- 作者机构：
  
  南京理工大学计算机科学与技术学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.09.019
  CLC： TN929.5;TP212.9
- Published：2012
- 稿件说明：
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[1]尚兴宏,钱焕延,高德民.基于改进蚁群优化算法的无线传感器网络路由研究[J].传感器与微系统,2012,31(09):36-38.

SHANG Xing-hong, QIAN Huan-yan, GAO De-min. Research on improved ACO-based routing for wireless sensor networks[J]. 2012, 31(9): 36-38.
[1]尚兴宏,钱焕延,高德民.基于改进蚁群优化算法的无线传感器网络路由研究[J].传感器与微系统,2012,31(09):36-38. DOI： 10.13873/j.1000-97872012.09.019.

SHANG Xing-hong, QIAN Huan-yan, GAO De-min. Research on improved ACO-based routing for wireless sensor networks[J]. 2012, 31(9): 36-38. DOI： 10.13873/j.1000-97872012.09.019.

摘要

无线传感器网络为能量受限系统

为了促使网络节点能量消耗相对均衡

将蚁群优化（ACO）算法应用于无线传感器网络的路由选择

提出一种基于能量均衡的无线传感器网络路由算法。该算法将节点能量作为转移概率规则启发因子

通过计算转移概率和适应度值找到最优路径。仿真结果表明:该算法可以显著减低网络总能耗

从而延长无线传感器网络的生命周期。

Abstract

Wireless sensor networks（WSNs） is energy limited system

in order to balance the energy consumption of nodes

energy-balance routing based on ant colony optimization（ACO） algorithm is proposed.In this algorithm

probabilistic decision rule are constructed with the energy of nodes

and the optimal path is found by calculating the probability and fitness value.Simulation results show that this algorithm can obviously reduce the energy consumption

and prolong the lifetime of WSNs.

关键词

Keywords

references

一种基于蚁群优化的无线传感器网络路由算法 [J]. 朱思峰,刘方,柴争义. 北京理工大学学报 . 2010(11)

基于蚁群算法的多路径多约束QoS路由研究 [J]. 肖伟,全惠云,刘枫. 计算机工程与应用 . 2008(30)

无线传感器网络的蚁群自组织算法 [J]. 王睿,梁彦,潘泉. 电子学报 . 2007(09)

一种基于改进蚁群算法的选播路由算法 [J]. 李领治,郑洪源,丁秋林. 电子与信息学报 . 2007(02)

传感网络中一种基于蚂蚁算法的分布式数据汇集路由算法 [J]. 李闻,林亚平,童调生,陈宇,余建平. 小型微型计算机系统 . 2005(05)

无线传感器网络的理论及应用[M]. 北京航空航天大学出版社 , 王殊等, 2007

现代优化计算方法[M]. 清华大学出版社 , 邢文训,谢金星编著, 2005

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