基于改进遗传算法的无线传感器网络移动代理路由算法

Xiangli Wang, La-yuan Li
{"title":"基于改进遗传算法的无线传感器网络移动代理路由算法","authors":"Xiangli Wang, La-yuan Li","doi":"10.1109/URKE.2012.6319547","DOIUrl":null,"url":null,"abstract":"For the energy consumption problem of wireless sensor networks, a mobile agent routing based on improved genetic algorithm (MARIGA) is proposed in this paper. This algorithm introduces a new crossover strategy and mutation operator to effectively control the premature stagnation in the convergence process. The simulation results indicate that the MARIGA algorithm can effectively improve the routing quality of mobile agent and the energy consumption of network.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A mobile agent routing algorithm based on improved genetic algorithm for wireless sensor networks\",\"authors\":\"Xiangli Wang, La-yuan Li\",\"doi\":\"10.1109/URKE.2012.6319547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the energy consumption problem of wireless sensor networks, a mobile agent routing based on improved genetic algorithm (MARIGA) is proposed in this paper. This algorithm introduces a new crossover strategy and mutation operator to effectively control the premature stagnation in the convergence process. The simulation results indicate that the MARIGA algorithm can effectively improve the routing quality of mobile agent and the energy consumption of network.\",\"PeriodicalId\":277189,\"journal\":{\"name\":\"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URKE.2012.6319547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URKE.2012.6319547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对无线传感器网络的能耗问题,本文提出了一种基于改进遗传算法的移动代理路由算法(MARIGA)。该算法引入了新的交叉策略和突变算子,有效控制了收敛过程中的过早停滞。仿真结果表明,MARIGA 算法能有效改善移动代理的路由质量和网络能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A mobile agent routing algorithm based on improved genetic algorithm for wireless sensor networks
For the energy consumption problem of wireless sensor networks, a mobile agent routing based on improved genetic algorithm (MARIGA) is proposed in this paper. This algorithm introduces a new crossover strategy and mutation operator to effectively control the premature stagnation in the convergence process. The simulation results indicate that the MARIGA algorithm can effectively improve the routing quality of mobile agent and the energy consumption of network.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Driving system stability analysis and improving of IPMSM Bayesian network structure learning for discrete and continuous variables Development of genetic algorithm on multi-vendor integrated procurement-production system under shared transportation and just-in-time delivery system Inter-transaction association rule mining in the Indonesia stock exchange market Extreme graphs with given order and edge-neighbor-scattering number
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1