| 基于QoS-PSO的无线传感器网络路由方法 |
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| 引用本文： | 刘敏,徐世军,孙思毅,严隽薇.基于QoS-PSO的无线传感器网络路由方法[J].同济大学学报(自然科学版),2010,38(12):1846-1850. |
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| 作者姓名： | 刘敏 徐世军 孙思毅 严隽薇 |
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| 作者单位： | 同济大学,电子与信息工程学院,上海,201804 |
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| 基金项目： | 国家自然科学基金项目（61073090）；上海市科学技术委员会科研计划项目（09DZ1122300，09510701300）;广东省教育部产学研结合项目（2009GJE00026,2009B090300429） |
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| 摘 要： | 过去,大部分的无线传感器网络(WSN)的应用局限于数据的采集,比较少地关注网络中各节点的协同合作,现有的WSN路由算法对于网络的动态性的支持力度非常弱,不能满足分布式的无线网络和无线传感器网络应用对于网络服务质量的需求,路由优化能力不足.通过综合考虑多个服务质量指标,然后基于智能遗传算法微粒群算法进行路由寻优,为路由寻优提供了很好的搜索能力.仿真结果表明,基于微粒群优化算法,以综合服务质量(QoS)指标为目标的路由很好地改善了其服务质量性能.
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| 关 键 词： | 微粒群算法 无线传感器网络 综合服务质量 智能Agent路由 仿真环境 |
| 收稿时间： | 7/24/2009 7:22:07 PM |
| 修稿时间： | 2010/10/20 0:00:00 |
Routing Method in Wireless Sensor Network Based on Quality of Service and Particle Swarm Optimization |
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| LIU Min,XU Shijun,SUN Siyi and YAN Junwei.Routing Method in Wireless Sensor Network Based on Quality of Service and Particle Swarm Optimization[J].Journal of Tongji University(Natural Science),2010,38(12):1846-1850. |
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| Authors: | LIU Min XU Shijun SUN Siyi and YAN Junwei |
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| Institution: | College of Electronic and Information Engineering, Tongji University, Shanghai 201804,China;College of Electronic and Information Engineering, Tongji University, Shanghai 201804,China;College of Electronic and Information Engineering, Tongji University, Shanghai 201804,China;College of Electronic and Information Engineering, Tongji University, Shanghai 201804,China |
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| Abstract: | In the past,most of the wireless sensor network (WSN) applications were limited to data collection,and less attention was paid on the collaboration in the network.The weak support of the existing WSN routing algorithm for dynamic in network can not meet the service requirements of the distributed wireless networks and wireless sensor network applications.Based on a comprehensive consideration of the quality of service (QoS) indicators,and a routing search according to an intelligent particle swarm optimization(PSO)algorithm.New algorithm provides a very good search capabilities.The simulation results show that the PSObased routing with a comprehensive QoS indicator improves well the service quality. |
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| Keywords: | particle swarm optimization wireless sensor network comprehensive quality of service intelligent Agent routing simulation environment |
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