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基于CACO的WSN中QoS组播路由优化研究
引用本文:杨岸.基于CACO的WSN中QoS组播路由优化研究[J].淮南工业学院学报,2010(2):33-37.
作者姓名:杨岸
作者单位:安徽理工大学电气与信息工程学院,安徽淮南232001
摘    要:随着无线传感器网络的广泛使用,提出了如何在无线传感网络中实现QoS效率的问题。针对无线传感器网络的动态网络环境和能量约束的问题,在优化网络动态结构的基础上,提出用混沌蚁群算法求解无线传感器网络的QoS组播路由的方法。该算法采用混沌初始化进行改善个体质量和利用混沌扰动避免搜索过程陷入局部极值,求解QoS组播路由速度快,延长了网络寿命。仿真结果表明混沌蚁群算法求解无线传感器网络的QoS组播路由的可行性和有效性。

关 键 词:混沌蚁群算法  bQoS组播路由  b能量  无线传感器网络

Research of the QoS Multicast Routing in WSN Based on CACO Algorithm
YANG An.Research of the QoS Multicast Routing in WSN Based on CACO Algorithm[J].Journal of Huainan Institute of Technology(Natural Science),2010(2):33-37.
Authors:YANG An
Affiliation:YANG An(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China)
Abstract:As the wireless sensor network(WSN) is widely used,how to achieve the efficiency of QoS in WSN was proposed.The energy constraint bottleneck in the wireless sensor networks exist objectively.In order to reduce energy consumption and ensure the Quality of Service(QoS) in data transmission,on the basis of network dynamic structure optimization a method of solving the QoS multicast routing in WSN by chaos ant colony algorithm(CACO) was proposed.In the method CACO algorithm is adopted to improve individual quality and chaos perturbation is utilized to avoid the search being trapped in local optimum.It can solving the QoS multicast routing rapidly,which help to prolong the network lifetime.The simulation results indicate its feasibility and effectiveness.
Keywords:chaos ant colony algorithm  bQoS multicast routing  b energy  wireless sensor network
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