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使用蚁群优化的WMSNs负载均衡路由方案
引用本文:毕俊蕾,李致远.使用蚁群优化的WMSNs负载均衡路由方案[J].计算机工程与应用,2011,47(18):80-84.
作者姓名:毕俊蕾  李致远
作者单位:1. 河南工业职业技术学院计算机工程系,河南南阳,473009
2. 南京邮电大学计算机学院,南京,210003
基金项目:国家自然科学基金,国家高技术研究发展计划(863),河南省自然科学基金
摘    要:由于无线多媒体传感器网络(WMSNs)具有资源受限、信道容量可变、数据冗余度高等特点,研究WMSNs的QoS路由具有极大的挑战性。针对上述问题,提出了一种使用蚁群优化的WMSNs负载均衡路由方案——ACOLBR。ACOLBR采用分簇技术进行区域划分,簇间利用ACO找到一条簇首到基站的最优路径,簇内利用以簇首为根节点的最小生成树算法组织路由。仿真结果表明,与AGRA和M-IAR算法相比,ACOLBR在负载均衡、传输时延、传输成功率、可扩展性和自适应性等方面均有较大改进,实现了全网的负载均衡,有效地延长了网络生命期,保证了网络传输的QoS。

关 键 词:无线多媒体传感器网络  QoS路由  蚁群优化  分簇技术  负载均衡
修稿时间: 

Load balancing routing scheme for wireless multimedia sensor networks using ant colony optimization
BI Junlei,LI Zhiyuan.Load balancing routing scheme for wireless multimedia sensor networks using ant colony optimization[J].Computer Engineering and Applications,2011,47(18):80-84.
Authors:BI Junlei  LI Zhiyuan
Affiliation:1.Department of Computer Engineering,Henan Polytechnic Institute,Nanyang,Hennan 473009,China 2.College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
Abstract:Due to the characteristics of Wireless Multimedia Sensor Networks(WMSNs),such as limited resources,variable channel capacities and highly redundant data,researching on the QoS routing of WMSNs is of great challenges.Aiming at these challenges,a Ant Colony Optimization based Load Balancing Routing(ACOLBR) scheme for WMSNs is proposed.The network is divided by a novel clustering algorithm.Then on the basis of the hierarchical topology,an optimal path from cluster heads to base station is built by the ant colony optimization algorithm.The routing between cluster members and their cluster heads is built by a minimum spanning tree algorithm within clusters.The simulation results show that ACOLBR has better scalability,adaptability,load balancing,transmission success rate and delay performance than AGRA(Ant-like Game Routing Algorithm for WMSNs)and M-IAR (Multimedia-enabled Improved Adaptive Routing) algorithms.Therefore,ACOLBR can achieve load balancing,effectively prolong the network lifetime and guarantee the QoS of the data transmission.
Keywords:Wireless Multimedia Sensor Networks(WMSNs)  QoS routing  Ant Colony Optimization(ACO)  clustering technology  load balancing
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