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计算机系统应用英文版:2011,20(7):111-115

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基于改进蚁群算法的无线Mesh 网QoS 路由算法研究

王霄¹, 吴开军^1,2

(1.上海海洋大学信息学院上海 201306;2.上海海洋大学现代信息与教育技术中心上海 201306)

Research of QoS Routing Algorithm of Wireless Mesh Network Based on Improved Antcolony Algorithm

WANG Xiao¹, WU Kai-Jun^1,2

(1.College of Information Technology,Shanghai Ocean University,Shanghai 201306, China;2.Center of Modern Information and Educational Technology,Shanghai Ocean University,Shanghai 201306, China)

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Received:November 07, 2010 Revised:December 10, 2010

中文摘要: 目前，无线Mesh 网络正成为无线网络研究中的一个热点。Quality of service (QoS)是无线Mesh 网络中的一个非常重要问题，而QoS 路由技术是解决这一问题的关键技术之一。本文就蚁群算法进行研究和改进，并将改进后的算法应用于无线Mesh 网络QoS 路由问题，进而提出了无线Mesh 网络QoS 路由算法，通过实验证明该算法能够对QoS 提供较好的支持。

中文关键词: Quality of service (QoS) 蚁群算法无线Mesh 网

Abstract:Currently, the wireless Mesh network is a hot spot of wireless network research. In wireless Mesh network, QoS is an important issue, and QoS routing is the key technology to solve this problem. In this paper, we proposed a wireless Mesh network QoS routing algorithm on Improved ant colony algorithm , and our experimental results shows that it can provide better QoS support.

keywords: quality of service ant colony algorithm (ACA) wireless mesh network

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基金项目:上海市教委科研基金(名称:E-研究院建设,编号:B-8401-08-0179)

Author Name	Affiliation
WANG Xiao	College of Information Technology,Shanghai Ocean University,Shanghai 201306, China
WU Kai-Jun	College of Information Technology,Shanghai Ocean University,Shanghai 201306, China Center of Modern Information and Educational Technology,Shanghai Ocean University,Shanghai 201306, China

Author Name	Affiliation
WANG Xiao	College of Information Technology,Shanghai Ocean University,Shanghai 201306, China
WU Kai-Jun	College of Information Technology,Shanghai Ocean University,Shanghai 201306, China Center of Modern Information and Educational Technology,Shanghai Ocean University,Shanghai 201306, China

引用文本：
王霄,吴开军.基于改进蚁群算法的无线Mesh 网QoS 路由算法研究.计算机系统应用,2011,20(7):111-115
WANG Xiao,WU Kai-Jun.Research of QoS Routing Algorithm of Wireless Mesh Network Based on Improved Antcolony Algorithm.COMPUTER SYSTEMS APPLICATIONS,2011,20(7):111-115